Jürgen Schmidhuber

567 papers A* 66A 26B 28C 17Misc 4Journal 272Unranked 130

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization. CoRR Yanning Dai, Yuhui Wang, Dylan R. Ashley, Jürgen Schmidhuber
2026	J	`jnl`	RACAS: Controlling Diverse Robots With a Single Agentic System. CoRR Dylan R. Ashley, Jan Przepióra, Yimeng Chen, Ali Abualsaud, Nurzhan Yesmagambet, Shinkyu Park, Eric Feron, Jürgen Schmidhuber
2025	—	`ed.`	AI in Drug Discovery - First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings AIDD@ICANN Djork-Arné Clevert, Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2025	J	`jnl`	Accelerating the inference of string generation-based chemical reaction models for industrial applications. J. Cheminformatics Mikhail Andronov, Natalia Andronova, Michael Wand, Jürgen Schmidhuber, Djork-Arné Clevert
2025	A*	`conf`	Agent-as-a-Judge: Evaluate Agents with Agents. ICML Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber
2025	A*	`conf`	Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models. EMNLP Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, Mingchen Zhuge, Jürgen Schmidhuber
2025	J	`jnl`	Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models. CoRR Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, Mingchen Zhuge, Jürgen Schmidhuber
2025	J	`jnl`	Can Video Diffusion Model Reconstruct 4D Geometry? CoRR Jinjie Mai, Wenxuan Zhu, Haozhe Liu, Bing Li, Cheng Zheng, Jürgen Schmidhuber, Bernard Ghanem
2025	J	`jnl`	Class-wise Generalization Error: an Information-Theoretic analysis. Trans. Mach. Learn. Res. Firas Laakom, Moncef Gabbouj, Jürgen Schmidhuber, Yuheng Bu
2025	J	`jnl`	Curious Causality-Seeking Agents Learn Meta Causal World. CoRR Zhiyu Zhao, Haoxuan Li, Haifeng Zhang, Jun Wang, Francesco Faccio, Jürgen Schmidhuber, Mengyue Yang
2025	J	`jnl`	Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings. CoRR Anand Gopalakrishnan, Róbert Csordás, Jürgen Schmidhuber, Michael C. Mozer
2025	A*	`conf`	Directly Forecasting Belief for Reinforcement Learning with Delays. ICML Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang
2025	J	`jnl`	Directly Forecasting Belief for Reinforcement Learning with Delays. CoRR Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang
2025	J	`jnl`	Efficient rotation invariance in deep neural networks through artificial mental rotation. Frontiers Comput. Sci. Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
2025	A*	`conf`	FACTS: A Factored State-Space Framework for World Modelling. ICLR Nanbo Li, Firas Laakom, Yucheng Xu, Wenyi Wang, Jürgen Schmidhuber
2025	A*	`conf`	Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective. ICML Firas Laakom, Haobo Chen, Jürgen Schmidhuber, Yuheng Bu
2025	J	`jnl`	Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective. CoRR Firas Laakom, Haobo Chen, Jürgen Schmidhuber, Yuheng Bu
2025	A*	`conf`	Falling Walls, WWW, Modern AI, and the Future of the Universe. WWW Jürgen Schmidhuber
2025	J	`jnl`	Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search. CoRR Mikhail Andronov, Natalia Andronova, Michael Wand, Jürgen Schmidhuber, Djork-Arné Clevert
2025	J	`jnl`	Faster Diffusion Through Temporal Attention Decomposition. Trans. Mach. Learn. Res. Haozhe Liu, Wentian Zhang, Jinheng Xie, Francesco Faccio, Mengmeng Xu, Tao Xiang, Mike Zheng Shou, Juan-Manuel Pérez-Rúa, Jürgen Schmidhuber
2025	J	`jnl`	Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine. CoRR Wenyi Wang, Piotr Piekos, Nanbo Li, Firas Laakom, Yimeng Chen, Mateusz Ostaszewski, Mingchen Zhuge, Jürgen Schmidhuber
2025	J	`jnl`	MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale. Trans. Mach. Learn. Res. Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan Camilo Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa
2025	A*	`conf`	Measuring In-Context Computation Complexity via Hidden State Prediction. ICML Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber
2025	J	`jnl`	Measuring In-Context Computation Complexity via Hidden State Prediction. CoRR Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber
2025	—	`conf`	Medical Referring Image Segmentation: Addressing Multi-Lesion Reference and Annotation Uncertainty via Vision-Language Fusion. MLMI@MICCAI Yuanyang He, Chun-Mei Feng, Yang Zhou, Lionel Tim-Ee Cheng, Anh Tran, Gideon Ooi, Choon Hua Thng, Salman H. Khan, Wangmeng Zuo, Yong Liu, Jürgen Schmidhuber
2025	J	`jnl`	Metalearning Continual Learning Algorithms. Trans. Mach. Learn. Res. Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2025	J	`jnl`	Mindstorms in Natural Language-Based Societies of Mind. Comput. Vis. Media Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
2025	J	`jnl`	Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing. CoRR Piotr Piekos, Róbert Csordás, Jürgen Schmidhuber
2025	J	`jnl`	Mixture of States: Routing Token-Level Dynamics for Multimodal Generation. CoRR Haozhe Liu, Ding Liu, Mingchen Zhuge, Zijian Zhou, Tian Xie, Sen He, Yukang Yang, Shuming Liu, Yuren Cong, Jiadong Guo, Hongyu Xu, Ke Xu, Kam Woh Ng, Juan C. Pérez, Juan-Manuel Pérez-Rúa, Tao Xiang, Wei Liu, Shikun Liu, Jürgen Schmidhuber
2025	J	`jnl`	Multiple Token Divergence: Measuring and Steering In-Context Computation Density. CoRR Vincent Herrmann, Eric Alcaide, Michael Wand, Jürgen Schmidhuber
2025	J	`jnl`	On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers. CoRR Miroslav Strupl, Oleg Szehr, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2025	J	`jnl`	On the Distillation of Stories for Transferring Narrative Arcs in Collections of Independent Media. IEEE Trans. Pattern Anal. Mach. Intell. Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Jürgen Schmidhuber
2025	J	`jnl`	PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors. CoRR Yimeng Chen, Piotr Piekos, Mateusz Ostaszewski, Firas Laakom, Jürgen Schmidhuber
2025	A*	`conf`	Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. ICML Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jürgen Schmidhuber
2025	J	`jnl`	Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis. CoRR Yilan Zhang, Li Nanbo, Changchun Yang, Jürgen Schmidhuber, Xin Gao
2025	J	`jnl`	TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models. CoRR Zhiheng Liu, Weiming Ren, Haozhe Liu, Zijian Zhou, Shoufa Chen, Haonan Qiu, Xiaoke Huang, Zhaochong An, Fanny Yang, Aditya Patel, Viktar Atliha, Tony Ng, Xiao Han, Chuyan Zhu, Chenyang Zhang, Ding Liu, Juan-Manuel Pérez-Rúa, Sen He, Jürgen Schmidhuber, Wenhu Chen, Ping Luo, Wei Liu, Tao Xiang, Jonas Schult, Yuren Cong
2025	A	`conf`	Towards an Extremely Robust Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. IROS Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Yanning Dai, Francesco Faccio, Eric Feron, Jürgen Schmidhuber
2025	J	`jnl`	Upside Down Reinforcement Learning with Policy Generators. CoRR Jacopo Di Ventura, Dylan R. Ashley, Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
2025	J	`jnl`	Who invented deep residual learning? CoRR Jürgen Schmidhuber
2024	J	`jnl`	Accelerating the inference of string generation-based chemical reaction models for industrial applications. CoRR Mikhail Andronov, Natalia Andronova, Michael Wand, Jürgen Schmidhuber, Djork-Arné Clevert
2024	J	`jnl`	Agent-as-a-Judge: Evaluate Agents with Agents. CoRR Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I ICANN (1) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part II ICANN (2) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part III ICANN (3) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV ICANN (4) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IX ICANN (9) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part V ICANN (5) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VI ICANN (6) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VII ICANN (7) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VIII ICANN (8) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part X ICANN (10) Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko
2024	J	`jnl`	Automatic Album Sequencing. CoRR Vincent Herrmann, Dylan R. Ashley, Jürgen Schmidhuber
2024	A*	`conf`	Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays. ICML Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang
2024	J	`jnl`	Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models. CoRR Wentian Zhang, Haozhe Liu, Jinheng Xie, Francesco Faccio, Mike Zheng Shou, Jürgen Schmidhuber
2024	—	`conf`	Curating Reagents in Chemical Reaction Data with an Interactive Reagent Space Map. AIDD@ICANN Mikhail Andronov, Natalia Andronova, Michael Wand, Jürgen Schmidhuber, Djork-Arné Clevert
2024	A*	`conf`	Exploring the Promise and Limits of Real-Time Recurrent Learning. ICLR Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
2024	J	`jnl`	FACTS: A Factored State-Space Framework For World Modelling. CoRR Nanbo Li, Firas Laakom, Yucheng Xu, Wenyi Wang, Jürgen Schmidhuber
2024	A*	`conf`	GPTSwarm: Language Agents as Optimizable Graphs. ICML Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber
2024	—	`conf`	Goldfish: Vision-Language Understanding of Arbitrarily Long Videos. ECCV (29) Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Mingchen Zhuge, Jian Ding, Deyao Zhu, Jürgen Schmidhuber, Mohamed Elhoseiny
2024	J	`jnl`	Goldfish: Vision-Language Understanding of Arbitrarily Long Videos. CoRR Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Mingchen Zhuge, Jian Ding, Deyao Zhu, Jürgen Schmidhuber, Mohamed Elhoseiny
2024	J	`jnl`	Highway Reinforcement Learning. CoRR Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber
2024	A*	`conf`	Highway Value Iteration Networks. ICML Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber
2024	J	`jnl`	Highway Value Iteration Networks. CoRR Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber
2024	J	`jnl`	How to Correctly do Semantic Backpropagation on Language-based Agentic Systems. CoRR Wenyi Wang, Hisham Abdullah Alyahya, Dylan R. Ashley, Oleg Serikov, Dmitrii Khizbullin, Francesco Faccio, Jürgen Schmidhuber
2024	J	`jnl`	Language Agents as Optimizable Graphs. CoRR Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber
2024	J	`jnl`	Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable. CoRR Haozhe Liu, Wentian Zhang, Bing Li, Bernard Ghanem, Jürgen Schmidhuber
2024	A*	`conf`	Learning Useful Representations of Recurrent Neural Network Weight Matrices. ICML Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
2024	J	`jnl`	Learning Useful Representations of Recurrent Neural Network Weight Matrices. CoRR Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
2024	J	`jnl`	Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter. IEEE Trans. Games Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
2024	J	`jnl`	MarDini: Masked Autoregressive Diffusion for Video Generation at Scale. CoRR Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan C. Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa
2024	A*	`conf`	MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. ICLR Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, Jürgen Schmidhuber
2024	A*	`conf`	MoEUT: Mixture-of-Experts Universal Transformers. NeurIPS Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning
2024	J	`jnl`	MoEUT: Mixture-of-Experts Universal Transformers. CoRR Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning
2024	C	`conf`	Past, Present, Future, and Far Future of AI. DATA Jürgen Schmidhuber
2024	C	`conf`	Past, Present, Future, and Far Future of AI. ICSOFT Jürgen Schmidhuber
2024	J	`jnl`	Real World Music Object Recognition. Trans. Int. Soc. Music. Inf. Retr. Lukas Tuggener, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier A. Montoya-Zegarra, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann
2024	A*	`conf`	Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. NeurIPS Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael C. Mozer
2024	J	`jnl`	Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery. CoRR Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Curtis Mozer
2024	J	`jnl`	Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. CoRR Yuhui Wang, Qingyuan Wu, Weida Li, Dylan R. Ashley, Francesco Faccio, Chao Huang, Jürgen Schmidhuber
2024	J	`jnl`	ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering. CoRR Xiuying Chen, Tairan Wang, Taicheng Guo, Kehan Guo, Juexiao Zhou, Haoyang Li, Mingchen Zhuge, Jürgen Schmidhuber, Xin Gao, Xiangliang Zhang
2024	—	`conf`	Self-organising Neural Discrete Representation Learning à la Kohonen. ICANN (1) Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2024	A*	`conf`	Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. ICML Aditya A. Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber
2024	J	`jnl`	Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning. CoRR Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber
2024	A*	`conf`	SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention. NeurIPS Róbert Csordás, Piotr Piekos, Kazuki Irie, Jürgen Schmidhuber
2024	J	`jnl`	Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. CoRR Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Francesco Faccio, Eric Feron, Jürgen Schmidhuber
2024	A*	`conf`	Tune-an-Ellipse: CLIP Has Potential to Find what you Want. CVPR Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou
2024	A*	`conf`	Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning. ICRA Renzo Caballero, Piotr Piekos, Eric Feron, Jürgen Schmidhuber
2024	—	`conf`	emg2vec: Self-supervised Pretraining in Electromyography-based Silent Speech Interfaces. EMBC Qinhan Hou, Stefano van Gogh, Kevin Scheck, Zhao Ren, Tanja Schultz, Michael Wand, Jürgen Schmidhuber
2023	J	`jnl`	Accelerating Neural Self-Improvement via Bootstrapping. CoRR Kazuki Irie, Jürgen Schmidhuber
2023	—	`conf`	Approximating Two-Layer Feedforward Networks for Efficient Transformers. EMNLP (Findings) Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Approximating Two-Layer Feedforward Networks for Efficient Transformers. CoRR Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Automating Continual Learning. CoRR Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2023	A*	`conf`	Contrastive Training of Complex-Valued Autoencoders for Object Discovery. NeurIPS Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Contrastive Training of Complex-Valued Autoencoders for Object Discovery. CoRR Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation. CoRR Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
2023	J	`jnl`	Exploring the Promise and Limits of Real-Time Recurrent Learning. CoRR Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
2023	A*	`conf`	Goal-Conditioned Generators of Deep Policies. AAAI Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2023	J	`jnl`	Guiding Online Reinforcement Learning with Action-Free Offline Pretraining. CoRR Deyao Zhu, Yuhui Wang, Jürgen Schmidhuber, Mohamed Elhoseiny
2023	A*	`conf`	Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules. ICLR Kazuki Irie, Jürgen Schmidhuber
2023	J	`jnl`	Large Language Model Programs. CoRR Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li
2023	—	`conf`	Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks. IWAI Vincent Herrmann, Louis Kirsch, Jürgen Schmidhuber
2023	A*	`conf`	Learning to Identify Critical States for Reinforcement Learning from Videos. ICCV Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber
2023	J	`jnl`	Learning to Identify Critical States for Reinforcement Learning from Videos. CoRR Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber
2023	J	`jnl`	Mindstorms in Natural Language-Based Societies of Mind. CoRR Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
2023	A*	`conf`	Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. EMNLP Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2023	J	`jnl`	Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. CoRR Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2023	J	`jnl`	SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention. CoRR Róbert Csordás, Piotr Piekos, Kazuki Irie, Jürgen Schmidhuber
2023	A*	`conf`	The Benefits of Model-Based Generalization in Reinforcement Learning. ICML Kenny John Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2023	J	`jnl`	The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. CoRR Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag
2023	J	`jnl`	Topological Neural Discrete Representation Learning à la Kohonen. CoRR Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2023	J	`jnl`	Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
2023	J	`jnl`	Unsupervised Musical Object Discovery from Audio. CoRR Joonsu Gha, Vincent Herrmann, Benjamin F. Grewe, Jürgen Schmidhuber, Anand Gopalakrishnan
2022	A*	`conf`	A Modern Self-Referential Weight Matrix That Learns to Modify Itself. ICML Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
2022	J	`jnl`	A Modern Self-Referential Weight Matrix That Learns to Modify Itself. CoRR Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
2022	J	`jnl`	All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL. CoRR Kai Arulkumaran, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2022	J	`jnl`	Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control. IEEE Trans. Biomed. Eng. Michael Wand, Morten Bak Kristoffersen, Andreas W. Franzke, Jürgen Schmidhuber
2022	J	`jnl`	Annotated History of Modern AI and Deep Learning. CoRR Jürgen Schmidhuber
2022	J	`jnl`	Bayesian Brains and the Rényi Divergence. Neural Comput. Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2022	A*	`conf`	CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. EMNLP Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2022	J	`jnl`	CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. CoRR Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2022	J	`jnl`	Eliminating Meta Optimization Through Self-Referential Meta Learning. CoRR Louis Kirsch, Jürgen Schmidhuber
2022	A*	`conf`	Exploring through Random Curiosity with General Value Functions. NeurIPS Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2022	J	`jnl`	Exploring through Random Curiosity with General Value Functions. CoRR Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2022	J	`jnl`	General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States. CoRR Francesco Faccio, Aditya A. Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber
2022	J	`jnl`	Goal-Conditioned Generators of Deep Policies. CoRR Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2022	J	`jnl`	Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules. CoRR Kazuki Irie, Jürgen Schmidhuber
2022	J	`jnl`	Is it enough to optimize CNN architectures on ImageNet? Frontiers Comput. Sci. Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
2022	J	`jnl`	Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks. CoRR Vincent Herrmann, Louis Kirsch, Jürgen Schmidhuber
2022	J	`jnl`	Learning Relative Return Policies With Upside-Down Reinforcement Learning. CoRR Dylan R. Ashley, Kai Arulkumaran, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2022	J	`jnl`	Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks. CoRR Kazuki Irie, Jürgen Schmidhuber
2022	J	`jnl`	Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter. CoRR Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
2022	A*	`conf`	Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules. NeurIPS Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
2022	J	`jnl`	Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules. CoRR Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
2022	J	`jnl`	On Narrative Information and the Distillation of Stories. CoRR Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Jürgen Schmidhuber
2022	J	`jnl`	Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits. Neural Comput. Aditya A. Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber
2022	A*	`conf`	Reward-Weighted Regression Converges to a Global Optimum. AAAI Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2022	J	`jnl`	The Benefits of Model-Based Generalization in Reinforcement Learning. CoRR Kenny Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber
2022	A*	`conf`	The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention. ICML Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2022	J	`jnl`	The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention. CoRR Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
2022	A*	`conf`	The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization. ICLR Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2022	J	`jnl`	Unsupervised Learning of Temporal Abstractions with Slot-based Transformers. CoRR Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
2022	J	`jnl`	Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets. CoRR Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
2021	A*	`conf`	Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. ICLR Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
2021	J	`jnl`	Automatic Embedding of Stories Into Collections of Independent Media. CoRR Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Kory W. Mathewson, Jürgen Schmidhuber
2021	J	`jnl`	Bayesian brains and the Rényi divergence. CoRR Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2021	J	`jnl`	Deep neural network representation and Generative Adversarial Learning. Neural Networks Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo P. Mandic
2021	A*	`conf`	Going Beyond Linear Transformers with Recurrent Fast Weight Programmers. NeurIPS Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
2021	J	`jnl`	Going Beyond Linear Transformers with Recurrent Fast Weight Programmers. CoRR Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
2021	A*	`conf`	Hierarchical Relational Inference. AAAI Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
2021	J	`jnl`	Improving Baselines in the Wild. CoRR Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber
2021	C	`conf`	Improving Stateful Premise Selection with Transformers. CICM Krsto Prorokovic, Michael Wand, Jürgen Schmidhuber
2021	J	`jnl`	Is it Enough to Optimize CNN Architectures on ImageNet? CoRR Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
2021	A*	`conf`	Learning Associative Inference Using Fast Weight Memory. ICLR Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
2021	J	`jnl`	Linear Transformers Are Secretly Fast Weight Memory Systems. CoRR Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
2021	A*	`conf`	Linear Transformers Are Secretly Fast Weight Programmers. ICML Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber
2021	A*	`conf`	Meta Learning Backpropagation And Improving It. NeurIPS Louis Kirsch, Jürgen Schmidhuber
2021	A*	`conf`	Parameter-Based Value Functions. ICLR Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber
2021	J	`jnl`	Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. Neural Comput. Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber
2021	J	`jnl`	Reward-Weighted Regression Converges to a Global Optimum. CoRR Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2021	A*	`conf`	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. ICLR Ðorðe Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021	J	`jnl`	Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling. CoRR Djordje Miladinovic, Aleksandar Stanic, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
2021	—	`conf`	The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. EMNLP (1) Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2021	J	`jnl`	The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers. CoRR Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2021	J	`jnl`	The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization. CoRR Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
2021	J	`jnl`	Training and Generating Neural Networks in Compressed Weight Space. CoRR Kazuki Irie, Jürgen Schmidhuber
2021	A*	`conf`	Unsupervised Object Keypoint Learning using Local Spatial Predictability. ICLR Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. CoRR Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Deep Learning: Our Miraculous Year 1990-1991. CoRR Jürgen Schmidhuber
2020	A	`conf`	Fusion Architectures for Word-Based Audiovisual Speech Recognition. INTERSPEECH Michael Wand, Jürgen Schmidhuber
2020	J	`jnl`	Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991). Neural Networks Jürgen Schmidhuber
2020	J	`jnl`	Hierarchical Relational Inference. CoRR Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	A*	`conf`	Improving Generalization in Meta Reinforcement Learning using Learned Objectives. ICLR Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Investigating object compositionality in Generative Adversarial Networks. Neural Networks Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly
2020	J	`jnl`	Learning Associative Inference Using Fast Weight Memory. CoRR Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
2020	J	`jnl`	Meta Learning Backpropagation And Improving It. CoRR Louis Kirsch, Jürgen Schmidhuber
2020	Misc	`conf`	Motion Dynamics Improve Speaker-Independent Lipreading. ICASSP Matteo Riva, Michael Wand, Jürgen Schmidhuber
2020	J	`jnl`	On the Binding Problem in Artificial Neural Networks. CoRR Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Parameter-based Value Functions. CoRR Francesco Faccio, Jürgen Schmidhuber
2020	J	`jnl`	Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits. CoRR Aditya A. Ramesh, Paulo E. Rauber, Jürgen Schmidhuber
2020	B	`conf`	The DeepScoresV2 Dataset and Benchmark for Music Object Detection. ICPR Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann
2020	J	`jnl`	Unsupervised Object Keypoint Learning using Local Spatial Predictability. CoRR Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
2019	J	`jnl`	A Perspective on Objects and Systematic Generalization in Model-Based RL. CoRR Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber
2019	—	`conf`	Adaptation of an EMG-Based Speech Recognizer via Meta-Learning. GlobalSIP Krsto Prorokovic, Michael Wand, Tanja Schultz, Jürgen Schmidhuber
2019	A*	`conf`	Are Disentangled Representations Helpful for Abstract Visual Reasoning? NeurIPS Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
2019	J	`jnl`	Are Disentangled Representations Helpful for Abstract Visual Reasoning? CoRR Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
2019	J	`jnl`	Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
2019	—	`conf`	Hindsight policy gradients. ICLR (Poster) Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber
2019	—	`conf`	Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control. ICLR (Poster) Róbert Csordás, Jürgen Schmidhuber
2019	J	`jnl`	Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control. CoRR Róbert Csordás, Jürgen Schmidhuber
2019	J	`jnl`	Improving Generalization in Meta Reinforcement Learning using Learned Objectives. CoRR Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2019	J	`jnl`	R-SQAIR: Relational Sequential Attend, Infer, Repeat. CoRR Aleksandar Stanic, Jürgen Schmidhuber
2019	J	`jnl`	Recurrent Neural Processes. CoRR Timon Willi, Jonathan Masci, Jürgen Schmidhuber, Christian Osendorfer
2019	J	`jnl`	Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions. CoRR Jürgen Schmidhuber
2019	J	`jnl`	Training Agents using Upside-Down Reinforcement Learning. CoRR Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, Wojciech Jaskowski, Jürgen Schmidhuber
2019	J	`jnl`	Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization. CoRR Jürgen Schmidhuber
2018	—	`conf`	Deep Watershed Detector for Music Object Recognition. ISMIR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
2018	J	`jnl`	Deep Watershed Detector for Music Object Recognition. CoRR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
2018	J	`jnl`	DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
2018	B	`conf`	DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
2018	A	`conf`	Domain-Adversarial Training for Session Independent EMG-based Speech Recognition. INTERSPEECH Michael Wand, Tanja Schultz, Jürgen Schmidhuber
2018	Misc	`conf`	Investigations on End- to-End Audiovisual Fusion. ICASSP Michael Wand, Jürgen Schmidhuber, Ngoc Thang Vu
2018	J	`jnl`	Investigations on End-to-End Audiovisual Fusion. CoRR Michael Wand, Ngoc Thang Vu, Jürgen Schmidhuber
2018	A*	`conf`	Learning to Reason with Third Order Tensor Products. NeurIPS Imanol Schlag, Jürgen Schmidhuber
2018	J	`jnl`	Learning to Reason with Third-Order Tensor Products. CoRR Imanol Schlag, Jürgen Schmidhuber
2018	J	`jnl`	One Big Net For Everything. CoRR Jürgen Schmidhuber
2018	A*	`conf`	Recurrent World Models Facilitate Policy Evolution. NeurIPS David Ha, Jürgen Schmidhuber
2018	J	`jnl`	Recurrent World Models Facilitate Policy Evolution. CoRR David Ha, Jürgen Schmidhuber
2018	—	`conf`	Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. ICLR (Poster) Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber
2018	J	`jnl`	Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. CoRR Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber
2018	J	`jnl`	World Models. CoRR David Ha, Jürgen Schmidhuber
2017	J	`jnl`	Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots. Artif. Intell. Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber
2017	—	`ch.`	Deep Learning. Encyclopedia of Machine Learning and Data Mining Jürgen Schmidhuber
2017	—	`conf`	Highway and Residual Networks learn Unrolled Iterative Estimation. ICLR (Poster) Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2017	J	`jnl`	Hindsight policy gradients. CoRR Paulo E. Rauber, Filipe Mutz, Jürgen Schmidhuber
2017	A	`conf`	Improving Speaker-Independent Lipreading with Domain-Adversarial Training. INTERSPEECH Michael Wand, Jürgen Schmidhuber
2017	J	`jnl`	Improving Speaker-Independent Lipreading with Domain-Adversarial Training. CoRR Michael Wand, Jürgen Schmidhuber
2017	J	`jnl`	LSTM: A Search Space Odyssey. IEEE Trans. Neural Networks Learn. Syst. Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber
2017	—	`conf`	Neural Expectation Maximization. ICLR (Workshop) Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2017	—	`conf`	Neural Expectation Maximization. NIPS Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2017	J	`jnl`	Neural Expectation Maximization. CoRR Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2017	A*	`conf`	Recurrent Highway Networks. ICML Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber
2017	—	`conf`	The Sacred Infrastructure for Computational Research. SciPy Klaus Greff, Aaron Klein, Martin Chovanec, Frank Hutter, Jürgen Schmidhuber
2016	J	`jnl`	A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots. IEEE Robotics Autom. Lett. Alessandro Giusti, Jerome Guzzi, Dan C. Ciresan, Fang-Lin He, Juan P. Rodriguez, Flavio Fontana, Matthias Faessler, Christian Forster, Jürgen Schmidhuber, Gianni Di Caro, Davide Scaramuzza, Luca Maria Gambardella
2016	A	`conf`	A Wavelet-based Encoding for Neuroevolution. GECCO Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber
2016	A	`conf`	Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition. INTERSPEECH Michael Wand, Jürgen Schmidhuber
2016	J	`jnl`	Discovering Boolean Gates in Slime Mould. CoRR Simon Harding, Jan Koutník, Klaus Greff, Jürgen Schmidhuber, Andy Adamatzky
2016	—	`conf`	Growing Recursive Self-Improvers. AGI Bas R. Steunebrink, Kristinn R. Thórisson, Jürgen Schmidhuber
2016	J	`jnl`	Highway and Residual Networks learn Unrolled Iterative Estimation. CoRR Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2016	J	`jnl`	Lipreading with Long Short-Term Memory. CoRR Michael Wand, Jan Koutník, Jürgen Schmidhuber
2016	Misc	`conf`	Lipreading with long short-term memory. ICASSP Michael Wand, Jan Koutník, Jürgen Schmidhuber
2016	J	`jnl`	Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Comput. Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Jürgen Schmidhuber
2016	J	`jnl`	Recurrent Highway Networks. CoRR Julian G. Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber
2016	—	`conf`	Tagger: Deep Unsupervised Perceptual Grouping. NIPS Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Harri Valpola, Jürgen Schmidhuber
2016	J	`jnl`	Tagger: Deep Unsupervised Perceptual Grouping. CoRR Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola
2015	—	`conf`	Anytime Bounded Rationality. AGI Eric Nivel, Kristinn R. Thórisson, Bas R. Steunebrink, Jürgen Schmidhuber
2015	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2015	J	`jnl`	Binding via Reconstruction Clustering. CoRR Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2015	J	`jnl`	Deep Learning. Scholarpedia Jürgen Schmidhuber
2015	J	`jnl`	Deep learning in neural networks: An overview. Neural Networks Jürgen Schmidhuber
2015	J	`jnl`	Highway Networks. CoRR Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015	J	`jnl`	LSTM: A Search Space Odyssey. CoRR Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber
2015	J	`jnl`	On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models. CoRR Jürgen Schmidhuber
2015	—	`conf`	Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. NIPS Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber
2015	J	`jnl`	Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. CoRR Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber
2015	—	`conf`	The Natural Gradient as a control signal for a humanoid robot. Humanoids Marijn F. Stollenga, Alan J. Lockett, Jürgen Schmidhuber
2015	—	`conf`	Training Very Deep Networks. NIPS Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015	J	`jnl`	Training Very Deep Networks. CoRR Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015	—	`conf`	Understanding Locally Competitive Networks. ICLR (Poster) Rupesh Kumar Srivastava, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
2014	A*	`conf`	A Clockwork RNN. ICML Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber
2014	J	`jnl`	A Clockwork RNN. CoRR Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber
2014	—	`conf`	A comparison of algorithms and humans for mitosis detection. ISBI Alessandro Giusti, Claudio Caccia, Dan C. Ciresan, Jürgen Schmidhuber, Luca Maria Gambardella
2014	—	`conf`	An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning. SAB Varun Raj Kompella, Sohrob Kazerounian, Jürgen Schmidhuber
2014	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2014	—	`conf`	Bounded Seed-AGI. AGI Eric Nivel, Kristinn R. Thórisson, Bas R. Steunebrink, Haris Dindo, Giovanni Pezzulo, Manuel Rodríguez, Carlos Hernández, Dimitri Ognibene, Jürgen Schmidhuber, Ricardo Sanz, Helgi Páll Helgason, Antonio Chella
2014	—	`conf`	Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes. MICCAI (1) Jan Funke, Julien N. P. Martel, Stephan Gerhard, Björn Andres, Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Hanspeter Pfister, Albert Cardona, Matthew Cook
2014	J	`jnl`	Deep Learning in Neural Networks: An Overview. CoRR Jürgen Schmidhuber
2014	—	`conf`	Deep Networks with Internal Selective Attention through Feedback Connections. NIPS Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
2014	J	`jnl`	Deep Networks with Internal Selective Attention through Feedback Connections. CoRR Marijn F. Stollenga, Jonathan Masci, Faustino J. Gomez, Jürgen Schmidhuber
2014	—	`ch.`	Descriptor Learning for Omnidirectional Image Matching. Registration and Recognition in Images and Videos Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber
2014	J	`jnl`	Efficient Interactive Multiclass Learning from Binary Feedback. ACM Trans. Interact. Intell. Syst. Hung Quoc Ngo, Matthew D. Luciw, Jawad Nagi, Alexander Förster, Jürgen Schmidhuber, Ngo Anh Vien
2014	A	`conf`	Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. GECCO Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez
2014	B	`conf`	Explore to see, learn to perceive, get the actions for free: SKILLABILITY. IJCNN Varun Raj Kompella, Marijn F. Stollenga, Matthew D. Luciw, Jürgen Schmidhuber
2014	A*	`conf`	Human-robot cooperation: fast, interactive learning from binary feedback. HRI Jawad Nagi, Hung Quoc Ngo, Jürgen Schmidhuber, Luca Maria Gambardella, Gianni A. Di Caro
2014	B	`conf`	Improving robot vision models for object detection through interaction. IJCNN Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber
2014	J	`jnl`	Multimodal Similarity-Preserving Hashing. IEEE Trans. Pattern Anal. Mach. Intell. Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber
2014	J	`jnl`	Natural evolution strategies. J. Mach. Learn. Res. Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, Jürgen Schmidhuber
2014	—	`conf`	Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning. SAB Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez
2014	—	`conf`	Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution. SAB Marijn F. Stollenga, Jürgen Schmidhuber, Faustino J. Gomez
2014	—	`conf`	Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub. ICINCO (1) Jürgen Leitner, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2014	—	`conf`	Reinforcement and shaping in learning action sequences with neural dynamics. ICDL-EPIROB Matthew D. Luciw, Yulia Sandamirskaya, Sohrob Kazerounian, Jürgen Schmidhuber, Gregor Schöner
2014	—	`conf`	Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics. SAB Matthew D. Luciw, Sohrob Kazerounian, Yulia Sandamirskaya, Gregor Schöner, Jürgen Schmidhuber
2013	J	`jnl`	A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks CoRR Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber
2013	C	`conf`	A Learning Framework for Morphological Operators Using Counter-Harmonic Mean. ISMM Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber
2013	B	`conf`	A fast learning algorithm for image segmentation with max-pooling convolutional networks. ICIP Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber
2013	—	`conf`	A linear time natural evolution strategy for non-separable functions. GECCO (Companion) Yi Sun, Tom Schaul, Faustino J. Gomez, Jürgen Schmidhuber
2013	J	`jnl`	An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Frontiers Neurorobotics Matthew D. Luciw, Varun Raj Kompella, Sohrob Kazerounian, Jürgen Schmidhuber
2013	B	`conf`	Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots. IJCNN Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2013	J	`jnl`	Bounded Recursive Self-Improvement. CoRR Eric Nivel, Kristinn R. Thórisson, Bas R. Steunebrink, Haris Dindo, Giovanni Pezzulo, Manuel Rodríguez, Carlos Hernández, Dimitri Ognibene, Jürgen Schmidhuber, Ricardo Sanz, Helgi Páll Helgason, Antonio Chella, Gudberg K. Jonsson
2013	—	`conf`	Compete to Compute. NIPS Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino J. Gomez, Jürgen Schmidhuber
2013	J	`jnl`	Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers Neurorobotics Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Alexander Förster, Jürgen Schmidhuber
2013	C	`conf`	Evolving large-scale neural networks for vision-based TORCS. FDG Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez
2013	A	`conf`	Evolving large-scale neural networks for vision-based reinforcement learning. GECCO Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez
2013	J	`jnl`	Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks CoRR Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
2013	B	`conf`	Fast image scanning with deep max-pooling convolutional neural networks. ICIP Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
2013	B	`conf`	Humanoid learns to detect its own hands. IEEE Congress on Evolutionary Computation Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2013	—	`ch.`	Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity. Intrinsically Motivated Learning in Natural and Artificial Systems Jürgen Schmidhuber
2013	—	`conf`	Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks. MICCAI (2) Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber
2013	J	`jnl`	Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification. CoRR Dan C. Ciresan, Jürgen Schmidhuber
2013	B	`conf`	Multi-scale pyramidal pooling network for generic steel defect classification. IJCNN Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber
2013	J	`jnl`	My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013. CoRR Jürgen Schmidhuber
2013	J	`jnl`	PUF Modeling Attacks on Simulated and Silicon Data. IACR Cryptol. ePrint Arch. Ulrich Rührmair, Jan Sölter, Frank Sehnke, Xiaolin Xu, Ahmed Mahmoud, Vera Stoyanova, Gideon Dror, Jürgen Schmidhuber, Wayne P. Burleson, Srinivas Devadas
2013	J	`jnl`	PUF Modeling Attacks on Simulated and Silicon Data. IEEE Trans. Inf. Forensics Secur. Ulrich Rührmair, Jan Sölter, Frank Sehnke, Xiaolin Xu, Ahmed Mahmoud, Vera Stoyanova, Gideon Dror, Jürgen Schmidhuber, Wayne P. Burleson, Srinivas Devadas
2013	—	`conf`	Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious. AGI Bas R. Steunebrink, Jan Koutník, Kristinn R. Thórisson, Eric Nivel, Jürgen Schmidhuber
2013	A	`conf`	Task-relevant roadmaps: A framework for humanoid motion planning. IROS Marijn F. Stollenga, Leo Pape, Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber
2013	J	`jnl`	Testing Hypotheses by Regularized Maximum Mean Discrepancy CoRR Somayeh Danafar, Paola M. V. Rancoita, Tobias Glasmachers, Kevin Whittingstall, Jürgen Schmidhuber
2013	A*	`conf`	Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. IJCAI Hung Quoc Ngo, Matthew David Luciw, Ngo Anh Vien, Jürgen Schmidhuber
2012	J	`jnl`	A Frequency-Domain Encoding for Neuroevolution CoRR Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez
2012	J	`jnl`	A Learning Framework for Morphological Operators using Counter-Harmonic Mean CoRR Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber
2012	—	`conf`	An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). BICA Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2012	—	`conf`	Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. ICDL-EPIROB Varun Raj Kompella, Matthew D. Luciw, Marijn F. Stollenga, Leo Pape, Jürgen Schmidhuber
2012	—	`conf`	Autonomous learning of robust visual object detection and identification on a humanoid. ICDL-EPIROB Jürgen Leitner, Pramod Chandrashekhariah, Simon Harding, Mikhail Frank, Gabriele Spina, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber
2012	—	`conf`	Autonomous reinforcement of behavioral sequences in neural dynamics. ICDL-EPIROB Sohrob Kazerounian, Matthew D. Luciw, Yulia Sandamirskaya, Mathis Richter, Jürgen Schmidhuber, Gregor Schöner
2012	—	`conf`	Complexity search for compressed neural networks. GECCO (Companion) Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber
2012	—	`conf`	Compressed Network Complexity Search. PPSN (1) Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber
2012	—	`conf`	Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY. ICDL-EPIROB Rupesh Kumar Srivastava, Bas R. Steunebrink, Marijn F. Stollenga, Jürgen Schmidhuber
2012	J	`jnl`	Correction: novel Kernel-based recognizers of human actions. EURASIP J. Adv. Signal Process. Somayeh Danafar, Alessandro Giusti, Jürgen Schmidhuber
2012	—	`ch.`	Deep Big Multilayer Perceptrons for Digit Recognition. Neural Networks: Tricks of the Trade (2nd ed.) Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber
2012	—	`conf`	Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images. NIPS Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber
2012	J	`jnl`	Efficient Natural Evolution Strategies CoRR Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber
2012	J	`jnl`	First Experiments with PowerPlay CoRR Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber
2012	—	`conf`	Generalized Compressed Network Search. PPSN (1) Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez
2012	—	`conf`	Generalized compressed network search. GECCO (Companion) Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez
2012	J	`jnl`	Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. Neural Comput. Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber
2012	B	`conf`	Incremental learning using partial feedback for gesture-based human-swarm interaction. RO-MAN Jawad Nagi, Hung Quoc Ngo, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Gianni A. Di Caro
2012	J	`jnl`	Kernel representations for evolving continuous functions. Evol. Intell. Tobias Glasmachers, Jan Koutník, Jürgen Schmidhuber
2012	B	`conf`	Learning skills from play: Artificial curiosity on a Katana robot arm. IJCNN Hung Quoc Ngo, Matthew D. Luciw, Alexander Förster, Jürgen Schmidhuber
2012	J	`jnl`	Learning tactile skills through curious exploration. Frontiers Neurorobotics Leo Pape, Calogero M. Oddo, Marco Controzzi, Christian Cipriani, Alexander Förster, Maria Chiara Carrozza, Jürgen Schmidhuber
2012	—	`conf`	Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis. ICANN (2) Matthew D. Luciw, Jürgen Schmidhuber
2012	A	`conf`	MT-CGP: mixed type cartesian genetic programming. GECCO Simon Harding, Vincent Graziano, Jürgen Leitner, Jürgen Schmidhuber
2012	—	`conf`	Modular Value Iteration through Regional Decomposition. AGI Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber
2012	J	`jnl`	Multi-column Deep Neural Networks for Image Classification CoRR Dan C. Ciresan, Ueli Meier, Jürgen Schmidhuber
2012	J	`jnl`	Multi-column deep neural network for traffic sign classification. Neural Networks Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber
2012	A*	`conf`	Multi-column deep neural networks for image classification. CVPR Dan C. Ciresan, Ueli Meier, Jürgen Schmidhuber
2012	J	`jnl`	Multimodal similarity-preserving hashing CoRR Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber
2012	J	`jnl`	Object Recognition with Multi-Scale Pyramidal Pooling Networks CoRR Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber
2012	J	`jnl`	On the Size of the Online Kernel Sparsification Dictionary CoRR Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
2012	A*	`conf`	On the Size of the Online Kernel Sparsification Dictionary. ICML Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
2012	—	`conf`	Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning. ICAART (1) Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2012	J	`jnl`	Self-Delimiting Neural Networks CoRR Jürgen Schmidhuber
2012	B	`conf`	Steel defect classification with Max-Pooling Convolutional Neural Networks. IJCNN Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber, Gabriel Fricout
2012	J	`jnl`	T-Learning CoRR Vincent Graziano, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber
2012	—	`conf`	The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). ICINCO (2) Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Simon Harding, Alexander Förster, Jürgen Schmidhuber
2012	B	`conf`	Transfer learning for Latin and Chinese characters with Deep Neural Networks. IJCNN Dan Claudiu Ciresan, Ueli Meier, Jürgen Schmidhuber
2012	A	`conf`	Transferring spatial perception between robots operating in a shared workspace. IROS Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2012	J	`jnl`	Turing: Keep his work in perspective. Nat. Jürgen Schmidhuber
2011	—	`conf`	A Family of Gödel Machine Implementations. AGI Bas R. Steunebrink, Jürgen Schmidhuber
2011	J	`jnl`	A Linear Time Natural Evolution Strategy for Non-Separable Functions CoRR Yi Sun, Faustino J. Gomez, Tom Schaul, Jürgen Schmidhuber
2011	B	`conf`	A committee of neural networks for traffic sign classification. IJCNN Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber
2011	J	`jnl`	Algorithm portfolio selection as a bandit problem with unbounded losses. Ann. Math. Artif. Intell. Matteo Gagliolo, Jürgen Schmidhuber
2011	—	`ed.`	Artificial General Intelligence - 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings AGI Jürgen Schmidhuber, Kristinn R. Thórisson, Moshe Looks
2011	—	`conf`	Artificial curiosity with planning for autonomous perceptual and cognitive development. ICDL-EPIROB Matthew D. Luciw, Vincent Graziano, Mark B. Ring, Jürgen Schmidhuber
2011	—	`conf`	AutoIncSFA and vision-based developmental learning for humanoid robots. Humanoids Varun Raj Kompella, Leo Pape, Jonathan Masci, Mikhail Frank, Jürgen Schmidhuber
2011	A	`conf`	Better Digit Recognition with a Committee of Simple Neural Nets. ICDAR Ueli Meier, Dan Claudiu Ciresan, Luca Maria Gambardella, Jürgen Schmidhuber
2011	—	`conf`	Coherence Progress: A Measure of Interestingness Based on Fixed Compressors. AGI Tom Schaul, Leo Pape, Tobias Glasmachers, Vincent Graziano, Jürgen Schmidhuber
2011	A	`conf`	Convolutional Neural Network Committees for Handwritten Character Classification. ICDAR Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber
2011	B	`conf`	Curiosity-driven optimization. IEEE Congress on Evolutionary Computation Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber
2011	J	`jnl`	Descriptor learning for omnidirectional image matching CoRR Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber
2011	A*	`conf`	Flexible, High Performance Convolutional Neural Networks for Image Classification. IJCAI Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
2011	J	`jnl`	Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs CoRR Dan C. Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber
2011	A	`conf`	High dimensions and heavy tails for natural evolution strategies. GECCO Tom Schaul, Tobias Glasmachers, Jürgen Schmidhuber
2011	J	`jnl`	High-Performance Neural Networks for Visual Object Classification CoRR Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber
2011	A*	`conf`	Incremental Basis Construction from Temporal Difference Error. ICML Yi Sun, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber
2011	A*	`conf`	Incremental Slow Feature Analysis. IJCAI Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber
2011	J	`jnl`	Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams CoRR Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber
2011	—	`conf`	Intrinsically motivated neuroevolution for vision-based reinforcement learning. ICDL-EPIROB Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez
2011	—	`conf`	Lifelong Credit Assignment with the Success-Story Algorithm. Lifelong Learning Jürgen Schmidhuber
2011	—	`conf`	Max-pooling convolutional neural networks for vision-based hand gesture recognition. ICSIPA Jawad Nagi, Frederick Ducatelle, Gianni A. Di Caro, Dan C. Ciresan, Ueli Meier, Alessandro Giusti, Farrukh Nagi, Jürgen Schmidhuber, Luca Maria Gambardella
2011	J	`jnl`	Measuring Intelligence through Games CoRR Tom Schaul, Julian Togelius, Jürgen Schmidhuber
2011	B	`conf`	Modular deep belief networks that do not forget. IJCNN Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber
2011	J	`jnl`	Natural Evolution Strategies CoRR Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jürgen Schmidhuber
2011	—	`conf`	On Fast Deep Nets for AGI Vision. AGI Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves
2011	—	`conf`	Optimal Direct Policy Search. AGI Tobias Glasmachers, Jürgen Schmidhuber
2011	J	`jnl`	POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem CoRR Jürgen Schmidhuber
2011	J	`jnl`	Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments CoRR Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
2011	—	`conf`	Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. AGI Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
2011	—	`conf`	Sequential Constant Size Compressors for Reinforcement Learning. AGI Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber
2011	—	`conf`	Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. ICANN (1) Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber
2011	—	`conf`	The two-dimensional organization of behavior. ICDL-EPIROB Mark B. Ring, Tom Schaul, Jürgen Schmidhuber
2011	—	`conf`	Unsupervised Modeling of Partially Observable Environments. ECML/PKDD (1) Vincent Graziano, Jan Koutník, Jürgen Schmidhuber
2010	—	`conf`	A Natural Evolution Strategy for Multi-objective Optimization. PPSN (1) Tobias Glasmachers, Tom Schaul, Jürgen Schmidhuber
2010	—	`conf`	Algorithm Selection as a Bandit Problem with Unbounded Losses. LION Matteo Gagliolo, Jürgen Schmidhuber
2010	—	`conf`	Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. ECML/PKDD (1) Somayeh Danafar, Arthur Gretton, Jürgen Schmidhuber
2010	J	`jnl`	Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition CoRR Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber
2010	J	`jnl`	Deep, Big, Simple Neural Nets for Handwritten Digit Recognition. Neural Comput. Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber
2010	J	`jnl`	Evolution of National Nobel Prize Shares in the 20th Century CoRR Jürgen Schmidhuber
2010	A	`conf`	Evolving neural networks in compressed weight space. GECCO Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber
2010	J	`jnl`	Exploring parameter space in reinforcement learning. Paladyn J. Behav. Robotics Thomas Rückstieß, Frank Sehnke, Tom Schaul, Daan Wierstra, Yi Sun, Jürgen Schmidhuber
2010	A	`conf`	Exponential natural evolution strategies. GECCO Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber
2010	J	`jnl`	Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010). IEEE Trans. Auton. Ment. Dev. Jürgen Schmidhuber
2010	—	`conf`	Formal Theory of Fun and Creativity. ECML/PKDD (1) Jürgen Schmidhuber
2010	—	`conf`	Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices. NIPS Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber
2010	J	`jnl`	Metalearning. Scholarpedia Tom Schaul, Jürgen Schmidhuber
2010	J	`jnl`	Modeling Attacks on Physical Unclonable Functions. IACR Cryptol. ePrint Arch. Ulrich Rührmair, Frank Sehnke, Jan Sölter, Gideon Dror, Srinivas Devadas, Jürgen Schmidhuber
2010	A*	`conf`	Modeling attacks on physical unclonable functions. CCS Ulrich Rührmair, Frank Sehnke, Jan Sölter, Gideon Dror, Srinivas Devadas, Jürgen Schmidhuber
2010	—	`conf`	Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients. ICANN (2) Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber
2010	C	`conf`	Multimodal Parameter-exploring Policy Gradients. ICMLA Frank Sehnke, Alex Graves, Christian Osendorfer, Jürgen Schmidhuber
2010	J	`jnl`	Novel Kernel-Based Recognizers of Human Actions. EURASIP J. Adv. Signal Process. Somayeh Danafar, Alessandro Giusti, Jürgen Schmidhuber
2010	J	`jnl`	Parameter-exploring policy gradients. Neural Networks Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
2010	—	`conf`	Policy Gradients for Cryptanalysis. ICANN (3) Frank Sehnke, Christian Osendorfer, Jan Sölter, Jürgen Schmidhuber, Ulrich Rührmair
2010	J	`jnl`	PyBrain. J. Mach. Learn. Res. Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber
2010	J	`jnl`	Recurrent policy gradients. Log. J. IGPL Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber
2010	A	`conf`	Robust Texture Recognition Using Credal Classifiers. BMVC Giorgio Corani, Alessandro Giusti, Davide Migliore, Jürgen Schmidhuber
2009	J	`jnl`	A Novel Connectionist System for Unconstrained Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, Jürgen Schmidhuber
2009	J	`jnl`	A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. Expert Syst. Appl. José David Martín-Guerrero, Faustino J. Gomez, Emilio Soria-Olivas, Jürgen Schmidhuber, Mónica Climente-Martí, N. Víctor Jiménez-Torres
2009	—	`conf`	An EM Based Training Algorithm for Recurrent Neural Networks. ICANN (1) Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
2009	—	`conf`	Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. Computational Creativity: An Interdisciplinary Approach Jürgen Schmidhuber
2009	A	`conf`	Efficient natural evolution strategies. GECCO Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber
2009	—	`conf`	Evolving Memory Cell Structures for Sequence Learning. ICANN (2) Justin Bayer, Daan Wierstra, Julian Togelius, Jürgen Schmidhuber
2009	—	`conf`	Hierarchical controller learning in a First-Person Shooter. CIG Niels van Hoorn, Julian Togelius, Jürgen Schmidhuber
2009	—	`conf`	Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. ICANN (2) Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber
2009	J	`jnl`	On-Chip Electric Waves: An Analog Circuit Approach to Physical Uncloneable Functions. IACR Cryptol. ePrint Arch. György Csaba, Xueming Ju, Qingqing Chen, Wolfgang Porod, Jürgen Schmidhuber, Ulf Schlichtmann, Paolo Lugli, Ulrich Rührmair
2009	J	`jnl`	Ontogenetic and Phylogenetic Reinforcement Learning. Künstliche Intell. Tom Schaul, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber, Christian Igel, Julian Togelius
2009	B	`conf`	Robust player imitation using multiobjective evolution. IEEE Congress on Evolutionary Computation Niels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber
2009	—	`conf`	Scalable Neural Networks for Board Games. ICANN (1) Tom Schaul, Jürgen Schmidhuber
2009	A*	`conf`	Stochastic search using the natural gradient. ICML Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber
2009	—	`conf`	Super mario evolution. CIG Julian Togelius, Sergey Karakovskiy, Jan Koutník, Jürgen Schmidhuber
2009	J	`jnl`	Ultimate Cognition Cogn. Comput. Jürgen Schmidhuber
2009	J	`jnl`	Using data compressors to construct order tests for homogeneity and component independence. Appl. Math. Lett. Daniil Ryabko, Jürgen Schmidhuber
2008	J	`jnl`	A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. Adv. Robotics Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois C. Knoll, Jürgen Schmidhuber
2008	—	`conf`	A scalable neural network architecture for board games. CIG Tom Schaul, Jürgen Schmidhuber
2008	J	`jnl`	Accelerated Neural Evolution through Cooperatively Coevolved Synapses. J. Mach. Learn. Res. Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen
2008	J	`jnl`	Algorithm Selection as a Bandit Problem with Unbounded Losses CoRR Matteo Gagliolo, Jürgen Schmidhuber
2008	—	`conf`	An experiment in automatic game design. CIG Julian Togelius, Jürgen Schmidhuber
2008	A	`conf`	Countering Poisonous Inputs with Memetic Neuroevolution. PPSN Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez
2008	—	`conf`	Driven by Compression Progress. KES (1) Jürgen Schmidhuber
2008	J	`jnl`	Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes CoRR Jürgen Schmidhuber
2008	—	`conf`	Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. ABiALS Jürgen Schmidhuber
2008	—	`conf`	Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. ICANN (1) Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber
2008	A	`conf`	Fitness Expectation Maximization. PPSN Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber
2008	—	`conf`	Generating diverse opponents with multiobjective evolution. CIG Alexandros Agapitos, Julian Togelius, Simon M. Lucas, Jürgen Schmidhuber, Andreas Konstantinidis
2008	B	`conf`	Learning what to ignore: Memetic climbing in topology and weight space. IEEE Congress on Evolutionary Computation Julian Togelius, Faustino J. Gomez, Jürgen Schmidhuber
2008	B	`conf`	Natural Evolution Strategies. IEEE Congress on Evolutionary Computation Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber
2008	—	`conf`	Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks. NIPS Alex Graves, Jürgen Schmidhuber
2008	J	`jnl`	Phoneme recognition in TIMIT with BLSTM-CTC CoRR Santiago Fernández, Alex Graves, Jürgen Schmidhuber
2008	—	`conf`	Policy Gradients with Parameter-Based Exploration for Control. ICANN (1) Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
2008	—	`conf`	State-Dependent Exploration for Policy Gradient Methods. ECML/PKDD (2) Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber
2008	Misc	`conf`	Towards Distributed Algorithm Portfolios. DCAI Matteo Gagliolo, Jürgen Schmidhuber
2007	J	`jnl`	2006: Celebrating 75 years of AI - History and Outlook: the Next 25 Years CoRR Jürgen Schmidhuber
2007	J	`jnl`	Algorithmic Complexity Bounds on Future Prediction Errors CoRR Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber
2007	J	`jnl`	Algorithmic complexity bounds on future prediction errors. Inf. Comput. Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber
2007	—	`conf`	An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN (2) Santiago Fernández, Alex Graves, Jürgen Schmidhuber
2007	—	`ch.`	Gödel Machines: Fully Self-referential Optimal Universal Self-improvers. Artificial General Intelligence Jürgen Schmidhuber
2007	A*	`conf`	Learning Restart Strategies. IJCAI Matteo Gagliolo, Jürgen Schmidhuber
2007	J	`jnl`	Multi-Dimensional Recurrent Neural Networks CoRR Alex Graves, Santiago Fernández, Jürgen Schmidhuber
2007	—	`conf`	Multi-dimensional Recurrent Neural Networks. ICANN (1) Alex Graves, Santiago Fernández, Jürgen Schmidhuber
2007	—	`ch.`	New Millennium AI and the Convergence of History. Challenges for Computational Intelligence Jürgen Schmidhuber
2007	—	`conf`	Policy Gradient Critics. ECML Daan Wierstra, Jürgen Schmidhuber
2007	B	`conf`	RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN Alexander Förster, Alex Graves, Jürgen Schmidhuber
2007	A*	`conf`	Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks. IJCAI Santiago Fernández, Alex Graves, Jürgen Schmidhuber
2007	J	`jnl`	Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity CoRR Jürgen Schmidhuber
2007	B	`conf`	Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. Discovery Science Jürgen Schmidhuber
2007	B	`conf`	Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity. ALT Jürgen Schmidhuber
2007	—	`conf`	Solving Deep Memory POMDPs with Recurrent Policy Gradients. ICANN (1) Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber
2007	—	`ch.`	The New AI: General & Sound & Relevant for Physics. Artificial General Intelligence Jürgen Schmidhuber
2007	J	`jnl`	Training Recurrent Networks by Evolino. Neural Comput. Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez
2007	—	`conf`	Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. NIPS Alex Graves, Santiago Fernández, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber
2007	J	`jnl`	Using Data Compressors to Construct Rank Tests CoRR Daniil Ryabko, Jürgen Schmidhuber
2006	—	`conf`	2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years. 50 Years of Artificial Intelligence Jürgen Schmidhuber
2006	A	`conf`	A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. IROS Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois C. Knoll, Jürgen Schmidhuber
2006	—	`conf`	Complexity Monotone in Conditions and Future Prediction Errors. Kolmogorov Complexity and Applications Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber
2006	A*	`conf`	Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber
2006	J	`jnl`	Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts. Connect. Sci. Jürgen Schmidhuber
2006	—	`conf`	Dynamic Algorithm Portfolios. AI&M Matteo Gagliolo, Jürgen Schmidhuber
2006	—	`conf`	Efficient Non-linear Control Through Neuroevolution. ECML Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen
2006	B	`conf`	Evolino for recurrent support vector machines. ESANN Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
2006	A	`conf`	Impact of Censored Sampling on the Performance of Restart Strategies. CP Matteo Gagliolo, Jürgen Schmidhuber
2006	J	`jnl`	Learning dynamic algorithm portfolios. Ann. Math. Artif. Intell. Matteo Gagliolo, Jürgen Schmidhuber
2006	J	`jnl`	Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot CoRR Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber
2006	C	`conf`	Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber
2006	J	`jnl`	New Millennium AI and the Convergence of History CoRR Jürgen Schmidhuber
2006	C	`conf`	Prefix-Like Complexities and Computability in the Limit. CiE Alexey V. Chernov, Jürgen Schmidhuber
2006	A*	`conf`	Quasi-online Reinforcement Learning for Robots. ICRA Bram Bakker, Viktor Zhumatiy, Gabriel Gruener, Jürgen Schmidhuber
2005	—	`conf`	A Neural Network Model for Inter-problem Adaptive Online Time Allocation. ICANN (2) Matteo Gagliolo, Jürgen Schmidhuber
2005	—	`conf`	Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition. ICANN (2) Alex Graves, Santiago Fernández, Jürgen Schmidhuber
2005	—	`conf`	Classifying Unprompted Speech by Retraining LSTM Nets. ICANN (1) Nicole Beringer, Alex Graves, Florian Schiel, Jürgen Schmidhuber
2005	A	`conf`	Co-evolving recurrent neurons learn deep memory POMDPs. GECCO Faustino J. Gomez, Jürgen Schmidhuber
2005	—	`conf`	Completely Self-referential Optimal Reinforcement Learners. ICANN (2) Jürgen Schmidhuber
2005	J	`jnl`	Evolino for recurrent support vector machines CoRR Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
2005	A*	`conf`	Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez
2005	—	`conf`	Evolving Modular Fast-Weight Networks for Control. ICANN (2) Faustino J. Gomez, Jürgen Schmidhuber
2005	—	`conf`	Fast Color-Based Object Recognition Independent of Position and Orientation. ICANN (1) Martijn van de Giessen, Jürgen Schmidhuber
2005	J	`jnl`	Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks Alex Graves, Jürgen Schmidhuber
2005	B	`conf`	Framewise phoneme classification with bidirectional LSTM networks. IJCNN Alex Graves, Jürgen Schmidhuber
2005	—	`conf`	Gödel Machines: Towards a Technical Justification of Consciousness. Adaptive Agents and Multi-Agent Systems Jürgen Schmidhuber
2005	—	`conf`	How to Learn a Program: Optimal Universal Learners & Goedel Machines. AAIP Jürgen Schmidhuber
2005	A	`conf`	Modeling systems with internal state using evolino. GECCO Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber
2004	—	`conf`	A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition. Neural Networks and Computational Intelligence Alex Graves, Nicole Beringer, Jürgen Schmidhuber
2004	—	`conf`	Adaptive Online Time Allocation to Search Algorithms. ECML Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber
2004	—	`conf`	Biologically Plausible Speech Recognition with LSTM Neural Nets. BioADIT Alex Graves, Douglas Eck, Nicole Beringer, Jürgen Schmidhuber
2004	—	`conf`	Hierarchical reinforcement learning with subpolicies specializing for learned subgoals. Neural Networks and Computational Intelligence Bram Bakker, Jürgen Schmidhuber
2004	J	`jnl`	Optimal Ordered Problem Solver. Mach. Learn. Jürgen Schmidhuber
2004	J	`jnl`	Self-organizing nets for optimization. IEEE Trans. Neural Networks Michele Milano, Petros Koumoutsakos, Jürgen Schmidhuber
2003	A	`conf`	A robot that reinforcement-learns to identify and memorize important previous observations. IROS Bram Bakker, Viktor Zhumatiy, Gabriel Gruener, Jürgen Schmidhuber
2003	J	`jnl`	Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements CoRR Jürgen Schmidhuber
2003	J	`jnl`	Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber
2003	J	`jnl`	The New AI: General & Sound & Relevant for Physics CoRR Jürgen Schmidhuber
2002	—	`conf`	Bias-Optimal Incremental Problem Solving. NIPS Jürgen Schmidhuber
2002	B	`conf`	DEKF-LSTM. ESANN Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber
2002	—	`conf`	Finding temporal structure in music: blues improvisation with LSTM recurrent networks. NNSP Douglas Eck, Jürgen Schmidhuber
2002	J	`jnl`	Hierarchies of Generalized Kolmogorov Complexities and Nonenumerable Universal Measures Computable in the Limit. Int. J. Found. Comput. Sci. Jürgen Schmidhuber
2002	C	`conf`	Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. ICANN Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck
2002	C	`conf`	Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. ICANN Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber
2002	J	`jnl`	Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. Neural Comput. Jürgen Schmidhuber, Felix A. Gers, Douglas Eck
2002	J	`jnl`	Learning Precise Timing with LSTM Recurrent Networks. J. Mach. Learn. Res. Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber
2002	C	`conf`	Learning the Long-Term Structure of the Blues. ICANN Douglas Eck, Jürgen Schmidhuber
2002	J	`jnl`	Optimal Ordered Problem Solver CoRR Jürgen Schmidhuber
2002	A	`conf`	Reinforcement learning in partially observable mobile robot domains using unsupervised event extraction. IROS Bram Bakker, Fredrik Linåker, Jürgen Schmidhuber
2002	A*	`conf`	The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions. COLT Jürgen Schmidhuber
2001	C	`conf`	Active Learning with Adaptive Grids. ICANN Michele Milano, Jürgen Schmidhuber, Petros Koumoutsakos
2001	—	`conf`	Applying LSTM to Time Series Predictable Through Time-Window Approaches. WIRN Felix A. Gers, Douglas Eck, Jürgen Schmidhuber
2001	C	`conf`	Applying LSTM to Time Series Predictable through Time-Window Approaches. ICANN Felix A. Gers, Douglas Eck, Jürgen Schmidhuber
2001	J	`jnl`	Gradient-based Reinforcement Planning in Policy-Search Methods CoRR Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber
2001	J	`jnl`	LSTM recurrent networks learn simple context-free and context-sensitive languages. IEEE Trans. Neural Networks Felix A. Gers, Jürgen Schmidhuber
2001	J	`jnl`	Market-Based Reinforcement Learning in Partially Observable Worlds CoRR Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber
2001	C	`conf`	Market-Based Reinforcement Learning in Partially Observable Worlds. ICANN Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber
2001	J	`jnl`	Optimal Control Using the Transport Equation: The Liouville Machine. Adapt. Behav. Ivo Kwee, Jürgen Schmidhuber
2001	—	`conf`	Sequential Decision Making Based on Direct Search. Sequence Learning Jürgen Schmidhuber
2001	C	`conf`	Unsupervised Learning in LSTM Recurrent Neural Networks. ICANN Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber
2000	J	`jnl`	Algorithmic Theories of Everything CoRR Jürgen Schmidhuber
2000	B	`conf`	Evolving strategies for active flow control. CEC Michele Milano, Petros Koumoutsakos, Xavier Giannakopoulos, Jürgen Schmidhuber
2000	J	`jnl`	Learning to Forget: Continual Prediction with LSTM. Neural Comput. Felix A. Gers, Jürgen Schmidhuber, Fred A. Cummins
2000	—	`conf`	Neural Processing of Complex Continual Input Streams. IJCNN (4) Felix A. Gers, Jürgen Schmidhuber
2000	—	`conf`	Recurrent Nets that Time and Count. IJCNN (3) Felix A. Gers, Jürgen Schmidhuber
1999	J	`jnl`	A Computer Scientist's View of Life, the Universe, and Everything CoRR Jürgen Schmidhuber
1999	B	`conf`	Artificial curiosity based on discovering novel algorithmic predictability through coevolution. CEC Jürgen Schmidhuber
1999	J	`jnl`	Feature Extraction Through LOCOCODE. Neural Comput. Sepp Hochreiter, Jürgen Schmidhuber
1999	—	`conf`	Language identification from prosody without explicit features. EUROSPEECH Fred A. Cummins, Felix A. Gers, Jürgen Schmidhuber
1999	—	`conf`	Nonlinear ICA through low-complexity autoencoders. ISCAS (5) Sepp Hochreiter, Jürgen Schmidhuber
1999	J	`jnl`	Reinforcement Learning Soccer Teams with Incomplete World Models. Auton. Robots Marco A. Wiering, Rafal Salustowicz, Jürgen Schmidhuber
1998	A*	`conf`	Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. ICML Rafal Salustowicz, Jürgen Schmidhuber
1998	J	`jnl`	Fast Online Q(lambda). Mach. Learn. Marco A. Wiering, Jürgen Schmidhuber
1998	J	`jnl`	Learning Team Strategies: Soccer Case Studies. Mach. Learn. Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber
1998	—	`ch.`	Reinforcement Learning with Self-Modifying Policies. Learning to Learn Jürgen Schmidhuber, Jieyu Zhao, Nicol N. Schraudolph
1998	—	`conf`	Source Separation as a By-Product of Regularization. NIPS Sepp Hochreiter, Jürgen Schmidhuber
1998	—	`conf`	Speeding up Q(lambda)-Learning. ECML Marco A. Wiering, Jürgen Schmidhuber
1997	—	`conf`	A Computer Scientist's View of Life, the Universe, and Everything. Foundations of Computer Science: Potential - Theory - Cognition Jürgen Schmidhuber
1997	J	`jnl`	Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability. Neural Networks Jürgen Schmidhuber
1997	—	`conf`	Evolving Soccer Strategies. ICONIP (1) Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber
1997	J	`jnl`	Flat Minima Neural Comput. Sepp Hochreiter, Jürgen Schmidhuber
1997	J	`jnl`	HQ-Learning. Adapt. Behav. Marco A. Wiering, Jürgen Schmidhuber
1997	J	`jnl`	Long Short-Term Memory. Neural Comput. Sepp Hochreiter, Jürgen Schmidhuber
1997	C	`conf`	On Learning Soccer Strategies. ICANN Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber
1997	J	`jnl`	Probabilistic Incremental Program Evolution. Evol. Comput. Rafal Salustowicz, Jürgen Schmidhuber
1997	—	`conf`	Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space. ECML Rafal Salustowicz, Jürgen Schmidhuber
1997	J	`jnl`	Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement. Mach. Learn. Jürgen Schmidhuber, Jieyu Zhao, Marco A. Wiering
1997	C	`conf`	Unsupervised Coding with LOCOCODE. ICANN Sepp Hochreiter, Jürgen Schmidhuber
1996	—	`conf`	LSTM can Solve Hard Long Time Lag Problems. NIPS Sepp Hochreiter, Jürgen Schmidhuber
1996	—	`conf`	Multi-Agent Learning with the Success-Story Algorithm. ECAI Workshop LDAIS / ICMAS Workshop LIOME Jürgen Schmidhuber, Jieyu Zhao
1996	J	`jnl`	Semilinear Predictability Minimization Produces Well-Known Feature Detectors. Neural Comput. Jürgen Schmidhuber, Martin Eldracher, Bernhard Foltin
1996	J	`jnl`	Sequential neural text compression. IEEE Trans. Neural Networks Jürgen Schmidhuber, Stefan Heil
1996	A*	`conf`	Solving POMDPs with Levin Search and EIRA. ICML Marco A. Wiering, Jürgen Schmidhuber
1995	A*	`conf`	Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability. ICML Jürgen Schmidhuber
1994	—	`conf`	Predictive Coding with Neural Nets: Application to Text Compression. NIPS Jürgen Schmidhuber, Stefan Heil
1994	—	`conf`	Simplifying Neural Nets by Discovering Flat Minima. NIPS Sepp Hochreiter, Jürgen Schmidhuber
1993	—	`conf`	A neural network that embeds its own meta-levels. ICNN Jürgen Schmidhuber
1993	J	`jnl`	Discovering Predictable Classifications. Neural Comput. Jürgen Schmidhuber, Daniel Prelinger
1993	—	`book`	Netzwerkarchitekturen, Zielfunktionen und Kettenregel (Network architectures, objective functions, and chain rule) Jürgen Schmidhuber
1992	J	`jnl`	A Fixed Size Storage Neural Comput. Jürgen Schmidhuber
1992	J	`jnl`	Learning Complex, Extended Sequences Using the Principle of History Compression. Neural Comput. Jürgen Schmidhuber
1992	J	`jnl`	Learning Factorial Codes by Predictability Minimization. Neural Comput. Jürgen Schmidhuber
1992	J	`jnl`	Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks. Neural Comput. Jürgen Schmidhuber
1991	J	`jnl`	Adaptive confidence and adaptive curiosity Forschungsberichte, TU Munich Jürgen Schmidhuber
1991	J	`jnl`	An O(n3) learning algorithm for fully recurrent networks Forschungsberichte, TU Munich Jürgen Schmidhuber
1991	—	`conf`	Learning Unambiguous Reduced Sequence Descriptions. NIPS Jürgen Schmidhuber
1991	J	`jnl`	Learning to Generate Artificial Fovea Trajectories for Target Detection. Int. J. Neural Syst. Jürgen Schmidhuber, Rudolf Huber
1991	J	`jnl`	Learning to control fast-weight memories: an alternative to dynamic recurrent networks Forschungsberichte, TU Munich Jürgen Schmidhuber
1991	J	`jnl`	Neural sequence chunkers Forschungsberichte, TU Munich Jürgen Schmidhuber
1990	J	`jnl`	A local learning algorithm for dynamic feedforward and recurrent networks Forschungsberichte, TU Munich Jürgen Schmidhuber
1990	B	`conf`	An on-line algorithm for dynamic reinforcement learning and planning in reactive environments. IJCNN Jürgen Schmidhuber
1990	—	`—`	Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem (Dynamic neural nets and the fundamental spatio-temporal credit assignment problem) Jürgen Schmidhuber
1990	—	`—`	Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem. Jürgen Schmidhuber
1990	J	`jnl`	Learning to generate focus trajectories for attentive vision Forschungsberichte, TU Munich Jürgen Schmidhuber
1990	J	`jnl`	Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environments Forschungsberichte, TU Munich Jürgen Schmidhuber
1990	J	`jnl`	Networks adjusting networks Forschungsberichte, TU Munich Jürgen Schmidhuber
1990	—	`conf`	Reinforcement Learning in Markovian and Non-Markovian Environments. NIPS Jürgen Schmidhuber
1990	J	`jnl`	Towards compositional learning with dynamic neural networks Forschungsberichte, TU Munich Jürgen Schmidhuber
1987	—	`—`	Evolutionary principles in self-referential learning, or on learning how to learn: The meta-meta-. hook Jürgen Schmidhuber