Francesco Faccio

37 papers A* 10A 1Journal 26

Year	Rank	Type	Title / Venue / Authors
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`	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`	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`	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	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	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
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	A*	`conf`	GPTSwarm: Language Agents as Optimizable Graphs. ICML Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber
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	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`	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`	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
2023	A*	`conf`	Goal-Conditioned Generators of Deep Policies. AAAI Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, 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	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
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	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	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	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`	Simulating Floating Head Pressure Control With Artificial Intelligence. IEEE Access Andrea Loreggia, Francesco Faccio, Diego Mussolin, Maurizio Zambonin
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	J	`jnl`	Bayesian brains and the Rényi divergence. CoRR Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2021	A*	`conf`	Parameter-Based Value Functions. ICLR Francesco Faccio, Louis Kirsch, 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
2020	J	`jnl`	Parameter-based Value Functions. CoRR Francesco Faccio, Jürgen Schmidhuber
2018	A*	`conf`	Policy Optimization via Importance Sampling. NeurIPS Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
2018	J	`jnl`	Policy Optimization via Importance Sampling. CoRR Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli