Sepp Hochreiter

202 papers A* 33A 2B 4C 3Journal 121Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AP-OOD: Attention Pooling for Out-of-Distribution Detection. CoRR Claus Hofmann, Christian Huber, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter, Werner Zellinger
2026	J	`jnl`	Adaptive Retrieval helps Reasoning in LLMs - but mostly if it's not used. CoRR Srijan Shakya, Anamaria-Roberta Hartl, Sepp Hochreiter, Korbinian Pöppel
2026	J	`jnl`	Effective Distillation to Hybrid xLSTM Architectures. CoRR Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied, Anamaria-Roberta Hartl, David Stap, Pieter-Jan Hoedt, Maximilian Beck, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
2026	J	`jnl`	The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization. CoRR Stephanie Holly, Alexandru-Ciprian Zavoianu, Siegfried Silber, Sepp Hochreiter, Werner Zellinger
2026	J	`jnl`	VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. J. Cheminformatics Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
2025	A*	`conf`	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. ICML Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter
2025	J	`jnl`	Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation. CoRR Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter
2025	A*	`conf`	Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. ICLR Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
2025	—	`conf`	Comparison Visual Instruction Tuning. CVPR Workshops Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
2025	A*	`conf`	FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware. ICLR Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter
2025	A*	`conf`	Geometry-Informed Neural Networks. ICML Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter
2025	A*	`conf`	Improving Uncertainty Estimation through Semantically Diverse Language Generation. ICLR Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter
2025	A*	`conf`	MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations. ICLR Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
2025	A	`conf`	On Information-Theoretic Measures of Predictive Uncertainty. UAI Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter
2025	J	`jnl`	Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification. CoRR Andreas Auer, Daniel Klotz, Sebastinan Böck, Sepp Hochreiter
2025	J	`jnl`	Rethinking Losses for Diffusion Bridge Samplers. CoRR Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann, Sepp Hochreiter, Sebastian Lehner
2025	J	`jnl`	Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned. CoRR Kajetan Schweighofer, Barbara Brune, Lukas Gruber, Simon Schmid, Alexander Aufreiter, Andreas Gruber, Thomas Doms, Sebastian Eder, Florian Mayer, Xaver-Paul Stadlbauer, Christoph Schwald, Werner Zellinger, Bernhard Nessler, Sepp Hochreiter
2025	A*	`conf`	Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. ICLR Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner
2025	J	`jnl`	Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. CoRR Sebastian Sanokowski, Wilhelm Berghammer, Martin Ennemoser, Haoyu Peter Wang, Sepp Hochreiter, Sebastian Lehner
2025	A*	`conf`	The Disparate Benefits of Deep Ensembles. ICML Kajetan Schweighofer, Adrián Arnaiz-Rodríguez, Sepp Hochreiter, Nuria Oliver
2025	J	`jnl`	TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning. CoRR Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
2025	J	`jnl`	Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels. CoRR Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Sepp Hochreiter
2025	A*	`conf`	Vision-LSTM: xLSTM as Generic Vision Backbone. ICLR Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter
2025	J	`jnl`	pLSTM: parallelizable Linear Source Transition Mark networks. CoRR Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter
2025	A*	`conf`	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. ICML Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter
2025	J	`jnl`	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. CoRR Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter
2025	J	`jnl`	xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity. CoRR Maximilian Beck, Kajetan Schweighofer, Sebastian Böck, Sebastian Lehner, Sepp Hochreiter
2024	A*	`conf`	A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. ICML Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
2024	J	`jnl`	A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. CoRR Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
2024	J	`jnl`	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. CoRR Thomas Schmied, Thomas Adler, Vihang Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter
2024	J	`jnl`	Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. CoRR Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
2024	J	`jnl`	Comparison Visual Instruction Tuning. CoRR Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
2024	J	`jnl`	Contrastive Abstraction for Reinforcement Learning. CoRR Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp Hochreiter
2024	A*	`conf`	Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. AAAI Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter
2024	A*	`conf`	Energy-based Hopfield Boosting for Out-of-Distribution Detection. NeurIPS Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
2024	J	`jnl`	Energy-based Hopfield Boosting for Out-of-Distribution Detection. CoRR Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
2024	J	`jnl`	FlashRNN: Optimizing Traditional RNNs on Modern Hardware. CoRR Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter
2024	J	`jnl`	Geometry-Informed Neural Networks. CoRR Arturs Berzins, Andreas Radler, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter
2024	J	`jnl`	HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions. J. Chem. Inf. Model. Emma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, Günter Klambauer
2024	J	`jnl`	Large Language Models Can Self-Improve At Web Agent Tasks. CoRR Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter
2024	J	`jnl`	MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations. CoRR Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
2024	J	`jnl`	On Information-Theoretic Measures of Predictive Uncertainty. CoRR Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter
2024	J	`jnl`	One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation. CoRR Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter
2024	A*	`conf`	Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. ICML Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger
2024	J	`jnl`	Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. CoRR Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger
2024	J	`jnl`	Rethinking Uncertainty Estimation in Natural Language Generation. CoRR Lukas Aichberger, Kajetan Schweighofer, Sepp Hochreiter
2024	J	`jnl`	Retrieval-Augmented Decision Transformer: External Memory for In-context RL. CoRR Thomas Schmied, Fabian Paischer, Vihang Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter
2024	J	`jnl`	Semantically Diverse Language Generation for Uncertainty Estimation in Language Models. CoRR Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter
2024	—	`conf`	Simplified priors for Object-Centric Learning. CoLLAs Vihang Prakash Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter
2024	J	`jnl`	Simplified priors for Object-Centric Learning. CoRR Vihang Patil, Andreas Radler, Daniel Klotz, Sepp Hochreiter
2024	—	`conf`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoLLAs Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2024	J	`jnl`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoRR Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2024	J	`jnl`	The Disparate Benefits of Deep Ensembles. CoRR Kajetan Schweighofer, Adrián Arnaiz-Rodríguez, Sepp Hochreiter, Nuria Oliver
2024	J	`jnl`	VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. CoRR Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
2024	J	`jnl`	Vision-LSTM: xLSTM as Generic Vision Backbone. CoRR Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter
2024	A*	`conf`	xLSTM: Extended Long Short-Term Memory. NeurIPS Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2024	J	`jnl`	xLSTM: Extended Long Short-Term Memory. CoRR Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2023	A*	`conf`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
2023	J	`jnl`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
2023	A*	`conf`	Boundary Graph Neural Networks for 3D Simulations. AAAI Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
2023	A*	`conf`	Conformal Prediction for Time Series with Modern Hopfield Networks. NeurIPS Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
2023	J	`jnl`	Conformal Prediction for Time Series with Modern Hopfield Networks. CoRR Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter
2023	A*	`conf`	Context-enriched molecule representations improve few-shot drug discovery. ICLR Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
2023	J	`jnl`	Context-enriched molecule representations improve few-shot drug discovery. CoRR Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
2023	J	`jnl`	Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. CoRR Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter
2023	J	`jnl`	Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Des. Test Lorenzo Servadei, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
2023	A*	`conf`	Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. ICML Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
2023	J	`jnl`	Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. CoRR Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
2023	J	`jnl`	Functional trustworthiness of AI systems by statistically valid testing. CoRR Bernhard Nessler, Thomas Doms, Sepp Hochreiter
2023	J	`jnl`	G-Signatures: Global Graph Propagation With Randomized Signatures. CoRR Bernhard Schäfl, Lukas Gruber, Johannes Brandstetter, Sepp Hochreiter
2023	J	`jnl`	Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty. CoRR Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter
2023	A*	`conf`	Learning to Modulate pre-trained Models in RL. NeurIPS Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
2023	J	`jnl`	Learning to Modulate pre-trained Models in RL. CoRR Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
2023	A*	`conf`	Quantification of Uncertainty with Adversarial Models. NeurIPS Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
2023	J	`jnl`	Quantification of Uncertainty with Adversarial Models. CoRR Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
2023	J	`jnl`	SITTA: A Semantic Image-Text Alignment for Image Captioning. CoRR Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
2023	A*	`conf`	Semantic HELM: A Human-Readable Memory for Reinforcement Learning. NeurIPS Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
2023	J	`jnl`	Semantic HELM: An Interpretable Memory for Reinforcement Learning. CoRR Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
2023	J	`jnl`	Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2023	J	`jnl`	Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. IEEE Trans. Image Process. Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
2023	A*	`conf`	Variational Annealing on Graphs for Combinatorial Optimization. NeurIPS Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
2023	J	`jnl`	Variational Annealing on Graphs for Combinatorial Optimization. CoRR Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner
2022	—	`conf`	A Dataset Perspective on Offline Reinforcement Learning. CoLLAs Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	A*	`conf`	Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. ICML Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter
2022	A*	`conf`	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. NeurIPS Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter
2022	J	`jnl`	Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests. J. Medical Syst. Theresa Roland, Carl Böck, Thomas Tschoellitsch, Alexander Maletzky, Sepp Hochreiter, Jens Meier, Günter Klambauer
2022	J	`jnl`	Entangled Residual Mappings. CoRR Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter
2022	—	`conf`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
2022	J	`jnl`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
2022	A*	`conf`	History Compression via Language Models in Reinforcement Learning. ICML Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	History Compression via Language Models in Reinforcement Learning. CoRR Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	Hopular: Modern Hopfield Networks for Tabular Data. CoRR Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling, Sepp Hochreiter
2022	J	`jnl`	Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. J. Chem. Inf. Model. Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Marwin H. S. Segler, Sepp Hochreiter, Günter Klambauer
2022	—	`conf`	Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. CoLLAs Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. CoRR Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	—	`conf`	The Landslide4Sense Competition 2022. CDCEO@IJCAI Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter
2022	J	`jnl`	Toward a broad AI. Commun. ACM Sepp Hochreiter
2022	J	`jnl`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2022	J	`jnl`	Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. CoRR Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter
2022	J	`jnl`	Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. Nat. Comput. Sci. Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlovic, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Truslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff
2021	J	`jnl`	Boundary Graph Neural Networks for 3D Simulations. CoRR Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
2021	A	`conf`	CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. CIKM Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil
2021	J	`jnl`	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. CoRR Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
2021	J	`jnl`	Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. Trans. Large Scale Data Knowl. Centered Syst. Markus Holzleitner, Lukas Gruber, José Antonio Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter
2021	—	`conf`	High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. IEEE BigData Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil
2021	A*	`conf`	Hopfield Networks is All You Need. ICLR Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2021	J	`jnl`	Learning 3D Granular Flow Simulations. CoRR Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter
2021	A*	`conf`	MC-LSTM: Mass-Conserving LSTM. ICML Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	MC-LSTM: Mass-Conserving LSTM. CoRR Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. CoRR Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer
2021	—	`conf`	MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
2021	J	`jnl`	The Promise of AI for DILI Prediction. Frontiers Artif. Intell. Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, Günter Klambauer
2021	—	`conf`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	—	`conf`	Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	J	`jnl`	Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications. CoRR Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler
2021	J	`jnl`	Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. CoRR Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter
2021	—	`conf`	Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil
2020	J	`jnl`	Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
2020	J	`jnl`	Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. CoRR Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter
2020	—	`conf`	Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning. MLCAD Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
2020	J	`jnl`	Cross-Domain Few-Shot Learning by Representation Fusion. CoRR Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
2020	J	`jnl`	Hopfield Networks is All You Need. CoRR Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2020	J	`jnl`	Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen
2020	J	`jnl`	Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
2020	A*	`conf`	Modern Hopfield Networks and Attention for Immune Repertoire Classification. NeurIPS Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
2020	J	`jnl`	Modern Hopfield Networks and Attention for Immune Repertoire Classification. CoRR Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlovic, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
2020	J	`jnl`	Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network. CoRR Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter
2020	—	`conf`	Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter
2020	J	`jnl`	Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. CoRR Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2020	—	`conf`	XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
2019	J	`jnl`	Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. J. Chem. Inf. Model. Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter, Günter Klambauer
2019	J	`jnl`	Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. CoRR Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2019	J	`jnl`	Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. CoRR Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer
2019	J	`jnl`	Explaining and Interpreting LSTMs. CoRR Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	—	`ch.`	Explaining and Interpreting LSTMs. Explainable AI Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	—	`conf`	Human-level Protein Localization with Convolutional Neural Networks. ICLR (Poster) Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
2019	J	`jnl`	Interpretable Deep Learning in Drug Discovery. CoRR Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019	—	`ch.`	Interpretable Deep Learning in Drug Discovery. Explainable AI Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019	J	`jnl`	Machine Learning in Drug Discovery. J. Chem. Inf. Model. Günter Klambauer, Sepp Hochreiter, Matthias Rarey
2019	J	`jnl`	NeuralHydrology - Interpreting LSTMs in Hydrology. CoRR Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
2019	—	`ch.`	NeuralHydrology - Interpreting LSTMs in Hydrology. Explainable AI Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
2019	J	`jnl`	Patch Refinement - Localized 3D Object Detection. CoRR Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter
2019	J	`jnl`	Quantum Optical Experiments Modeled by Long Short-Term Memory. CoRR Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter
2019	A*	`conf`	RUDDER: Return Decomposition for Delayed Rewards. NeurIPS Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter
2019	—	`conf`	The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. NeurIPS (Competition and Demos) David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter
2019	J	`jnl`	Using LSTMs for climate change assessment studies on droughts and floods. CoRR Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter
2019	—	`ch.`	Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation. Explainable AI Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler
2018	—	`conf`	Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. ICLR (Poster) Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
2018	J	`jnl`	DeepSynergy: predicting anti-cancer drug synergy with Deep Learning. Bioinform. Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
2018	A*	`conf`	First Order Generative Adversarial Networks. ICML Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter
2018	J	`jnl`	First Order Generative Adversarial Networks. CoRR Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter
2018	J	`jnl`	Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. J. Chem. Inf. Model. Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
2018	J	`jnl`	Fréchet ChemblNet Distance: A metric for generative models for molecules. CoRR Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
2018	J	`jnl`	Machine Learning in Drug Discovery. J. Chem. Inf. Model. Sepp Hochreiter, Günter Klambauer, Matthias Rarey
2018	J	`jnl`	RUDDER: Return Decomposition for Delayed Rewards. CoRR Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
2017	J	`jnl`	Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. CoRR Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
2017	—	`conf`	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. NIPS Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter
2017	J	`jnl`	GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium. CoRR Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
2017	J	`jnl`	Rectified factor networks for biclustering of omics data. Bioinform. Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter
2017	—	`conf`	Self-Normalizing Neural Networks. NIPS Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2017	J	`jnl`	Self-Normalizing Neural Networks. CoRR Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2016	A*	`conf`	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). ICLR (Poster) Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter
2015	J	`jnl`	KeBABS: an R package for kernel-based analysis of biological sequences. Bioinform. Johannes Palme, Sepp Hochreiter, Ulrich Bodenhofer
2015	J	`jnl`	Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map. Bioinform. Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2015	—	`conf`	Rectified Factor Networks. NIPS Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter
2015	J	`jnl`	Rectified Factor Networks. CoRR Djork-Arné Clevert, Thomas Unterthiner, Andreas Mayr, Hubert Ramsauer, Sepp Hochreiter
2015	J	`jnl`	Toxicity Prediction using Deep Learning. CoRR Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter
2015	J	`jnl`	msa: an R package for multiple sequence alignment. Bioinform. Ulrich Bodenhofer, Enrico Bonatesta, Christoph Horejs-Kainrath, Sepp Hochreiter
2014	J	`jnl`	Furby: fuzzy force-directed bicluster visualization. BMC Bioinform. Marc Streit, Samuel Gratzl, Michael Gillhofer, Andreas Mayr, Andreas Mitterecker, Sepp Hochreiter
2013	J	`jnl`	Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212). Dagstuhl Reports Andreas Bender, Hinrich W. H. Göhlmann, Sepp Hochreiter, Ziv Shkedy
2011	J	`jnl`	APCluster: an R package for affinity propagation clustering. Bioinform. Ulrich Bodenhofer, Andreas Kothmeier, Sepp Hochreiter
2010	J	`jnl`	FABIA: factor analysis for bicluster acquisition. Bioinform. Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bijnens, Hinrich W. H. Göhlmann, Ziv Shkedy, Djork-Arné Clevert
2009	—	`conf`	09081 Abstracts Collection - Similarity-based learning on structures. Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	—	`conf`	09081 Summary - Similarity-based learning on structures. Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	—	`conf`	Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations. IFSA/EUSFLAT Conf. Ulrich Bodenhofer, Karin Schwarzbauer, Mihaela Ionescu, Sepp Hochreiter
2009	—	`ed.`	Similarity-based learning on structures, 15.02. - 20.02.2009 Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2008	J	`jnl`	An SMO Algorithm for the Potential Support Vector Machine. Neural Comput. Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
2007	—	`ed.`	Bioinformatics Research and Development, First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings BIRD Sepp Hochreiter, Roland Wagner
2007	J	`jnl`	Fast model-based protein homology detection without alignment. Bioinform. Sepp Hochreiter, Martin Heusel, Klaus Obermayer
2007	J	`jnl`	I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data. Bioinform. Willem Talloen, Djork-Arné Clevert, Sepp Hochreiter, Dhammika Amaratunga, Luc Bijnens, Stefan Kass, Hinrich W. H. Göhlmann
2007	—	`ch.`	Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods. Blind Speech Separation Sepp Hochreiter, Michael C. Mozer
2007	B	`conf`	Optimality of LSTD and its Relation to MC. IJCNN Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer
2006	J	`jnl`	A new summarization method for affymetrix probe level data. Bioinform. Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer
2006	—	`ch.`	Nonlinear Feature Selection with the Potential Support Vector Machine. Feature Extraction Sepp Hochreiter, Klaus Obermayer
2006	B	`conf`	P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. IJCNN Johannes Mohr, Imke Puls, Jana Wrase, Sepp Hochreiter, Andreas Heinz, Klaus Obermayer
2006	J	`jnl`	Support Vector Machines for Dyadic Data. Neural Comput. Sepp Hochreiter, Klaus Obermayer
2005	B	`conf`	Optimal gradient-based learning using importance weights. IJCNN Sepp Hochreiter, Klaus Obermayer
2005	B	`conf`	Optimal kernels for unsupervised learning. IJCNN Sepp Hochreiter, Klaus Obermayer
2002	—	`conf`	Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. NIPS Sepp Hochreiter, Michael Mozer, Klaus Obermayer
2002	—	`conf`	Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers. NIPS Sepp Hochreiter, Klaus Obermayer
2001	C	`conf`	A Discrete Probabilistic Memory Model for Discovering Dependencies in Time. ICANN Sepp Hochreiter, Michael Mozer
2001	C	`conf`	Learning to Learn Using Gradient Descent. ICANN Sepp Hochreiter, A. Steven Younger, Peter R. Conwell
2000	—	`conf`	Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models. NIPS Sepp Hochreiter, Michael Mozer
1999	J	`jnl`	Feature Extraction Through LOCOCODE. Neural Comput. Sepp Hochreiter, Jürgen Schmidhuber
1999	—	`conf`	Nonlinear ICA through low-complexity autoencoders. ISCAS (5) Sepp Hochreiter, Jürgen Schmidhuber
1998	—	`conf`	Source Separation as a By-Product of Regularization. NIPS Sepp Hochreiter, Jürgen Schmidhuber
1998	J	`jnl`	The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Sepp Hochreiter
1997	J	`jnl`	Flat Minima Neural Comput. Sepp Hochreiter, Jürgen Schmidhuber
1997	J	`jnl`	Long Short-Term Memory. Neural Comput. Sepp Hochreiter, Jürgen Schmidhuber
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
1994	—	`conf`	Simplifying Neural Nets by Discovering Flat Minima. NIPS Sepp Hochreiter, Jürgen Schmidhuber