Faccio, Francesco

19 publications

NeurIPS 2025 Curious Causality-Seeking Agents in Open-Ended Worlds Zhiyu Zhao, Haoxuan Li, Haifeng Zhang, Jun Wang, Francesco Faccio, Jürgen Schmidhuber, Mengyue Yang

TMLR 2025 Faster Diffusion Through Temporal Attention Decomposition Haozhe Liu, Wentian Zhang, Jinheng Xie, Francesco Faccio, Mengmeng Xu, Tao Xiang, Mike Zheng Shou, Juan-Manuel Perez-Rua, Jürgen Schmidhuber

ICML 2025 Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jürgen Schmidhuber

ICML 2024 GPTSwarm: Language Agents as Optimizable Graphs Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber

ICML 2024 Highway Value Iteration Networks Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber

ICML 2024 Learning Useful Representations of Recurrent Neural Network Weight Matrices Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

NeurIPSW 2023 Continually Adapting Optimizers Improve Meta-Generalization Wenyi Wang, Louis Kirsch, Francesco Faccio, Mingchen Zhuge, Jürgen Schmidhuber

NeurIPSW 2023 Continually Adapting Optimizers Improve Meta-Generalization Wenyi Wang, Louis Kirsch, Francesco Faccio, Mingchen Zhuge, Jürgen Schmidhuber

NeurIPSW 2023 Efficient Value Propagation with the Compositional Optimality Equation Piotr Piękos, Aditya Ramesh, Francesco Faccio, Jürgen Schmidhuber

AAAI 2023 Goal-Conditioned Generators of Deep Policies Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber

NeurIPSW 2023 Learning Useful Representations of Recurrent Neural Network Weight Matrices Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

ICCV 2023 Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber

NeurIPSW 2023 Mindstorms in Natural Language-Based Societies of Mind 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 Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber

ICMLW 2022 General Policy Evaluation and Improvement by Learning to Identify Few but Crucial States Francesco Faccio, Aditya Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber

ICMLW 2022 Goal-Conditioned Generators of Deep Policies Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber

NeurIPS 2022 Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber

AAAI 2022 Reward-Weighted Regression Converges to a Global Optimum Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

ICLR 2021 Parameter-Based Value Functions Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber

NeurIPS 2018 Policy Optimization via Importance Sampling Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli