Francesco Faccio

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Language Modelling

Reinforcement Learning

Diffusion Models

Top Venues

Publications

Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
Learning Useful Representations of Recurrent Neural Network Weight Matrices. CoRR (2024)
Wentian Zhang, Haozhe Liu, Jinheng Xie, Francesco Faccio, Mike Zheng Shou, Jürgen Schmidhuber
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models. CoRR (2024)
Yuhui Wang, Qingyuan Wu, Weida Li, Dylan R. Ashley, Francesco Faccio, Chao Huang, Jürgen Schmidhuber
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. CoRR (2024)
Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Francesco Faccio, Eric Feron, Jürgen Schmidhuber
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. CoRR (2024)
Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber
Highway Value Iteration Networks. CoRR (2024)
Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber
Language Agents as Optimizable Graphs. CoRR (2024)
Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber
Highway Reinforcement Learning. CoRR (2024)
Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
Goal-Conditioned Generators of Deep Policies. AAAI (2023)
Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber
Learning to Identify Critical States for Reinforcement Learning from Videos. CoRR (2023)
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 Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber
Mindstorms in Natural Language-Based Societies of Mind. CoRR (2023)
Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. CoRR (2023)
Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber
Learning to Identify Critical States for Reinforcement Learning from Videos. ICCV (2023)
Francesco Faccio, Vincent Herrmann, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
Goal-Conditioned Generators of Deep Policies. CoRR (2022)
Andrea Loreggia, Francesco Faccio, Diego Mussolin, Maurizio Zambonin
Simulating Floating Head Pressure Control With Artificial Intelligence. IEEE Access 10 (2022)
Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules. CoRR (2022)
Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules. NeurIPS (2022)
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets. CoRR (2022)
Francesco Faccio, Aditya Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States. CoRR (2022)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian Brains and the Rényi Divergence. Neural Comput. 34 (4) (2022)
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
Reward-Weighted Regression Converges to a Global Optimum. AAAI (2022)
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber
Reward-Weighted Regression Converges to a Global Optimum. CoRR (2021)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian brains and the Rényi divergence. CoRR (2021)
Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber
Parameter-Based Value Functions. ICLR (2021)
Francesco Faccio, Jürgen Schmidhuber
Parameter-based Value Functions. CoRR (2020)
Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
Policy Optimization via Importance Sampling. NeurIPS (2018)
Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
Policy Optimization via Importance Sampling. CoRR (2018)