Tommaso Salvatori

48 papers A* 14A 1Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on neuro-mimetic deep learning via predictive coding. Neural Networks Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2026	J	`jnl`	Faster Predictive Coding Networks via Better Initialization. CoRR Luca Pinchetti, Simon Frieder, Thomas Lukasiewicz, Tommaso Salvatori
2026	J	`jnl`	Prototype Transformer: Towards Language Model Architectures Interpretable by Design. CoRR Yordan Yordanov, Matteo Forasassi, Bayar Menzat, Ruizhi Wang, Chang Qi, Markus Kaltenberger, Amine M'Charrak, Tommaso Salvatori, Thomas Lukasiewicz
2025	J	`jnl`	AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models. CoRR Conor Heins, Toon Van de Maele, Alexander Tschantz, Hampus Linander, Dimitrije Markovic, Tommaso Salvatori, Corrado Pezzato, Ozan Çatal, Ran Wei, Magnus T. Koudahl, Marco Perin, Karl J. Friston, Tim Verbelen, Christopher L. Buckley
2025	J	`jnl`	Active Inference and Intentional Behavior. Neural Comput. Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2025	A*	`conf`	Benchmarking Predictive Coding Networks - Made Simple. ICLR Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
2025	J	`jnl`	Distributed Intelligence in the Computing Continuum with Active Inference. CoRR Víctor Casamayor-Pujol, Boris Sedlak, Tommaso Salvatori, Karl J. Friston, Schahram Dustdar
2025	J	`jnl`	Gradient-Free De Novo Learning. Entropy Karl J. Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus T. Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen
2025	J	`jnl`	Towards the Training of Deeper Predictive Coding Neural Networks. CoRR Chang Qi, Matteo Forasassi, Thomas Lukasiewicz, Tommaso Salvatori
2024	J	`jnl`	A Review of Neuroscience-Inspired Machine Learning. CoRR Alexander Ororbia, Ankur Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori
2024	A*	`conf`	A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2024	J	`jnl`	Associative Memories in the Feature Space. CoRR Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2024	J	`jnl`	Benchmarking Predictive Coding Networks - Made Simple. CoRR Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers, Cornelius Emde, Mufeng Tang, Amine M'Charrak, Simon Frieder, Bayar Menzat, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori
2024	A*	`conf`	Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm. NeurIPS Eli Sennesh, Hao Wu, Tommaso Salvatori
2024	J	`jnl`	Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm. CoRR Eli Sennesh, Hao Wu, Tommaso Salvatori
2024	J	`jnl`	From pixels to planning: scale-free active inference. CoRR Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr
2024	A*	`conf`	Predictive Coding beyond Correlations. ICML Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz
2024	J	`jnl`	Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. CoRR Ankur Mali, Tommaso Salvatori, Alexander Ororbia
2023	A*	`conf`	A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	Active Inference and Intentional Behaviour. CoRR Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2023	A	`conf`	Associative Memories in the Feature Space. ECAI Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2023	A*	`conf`	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	Brain-Inspired Computational Intelligence via Predictive Coding. CoRR Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2023	J	`jnl`	Causal Inference via Predictive Coding. CoRR Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz
2023	A*	`conf`	Mathematical Capabilities of ChatGPT. NeurIPS Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner
2023	J	`jnl`	Mathematical Capabilities of ChatGPT. CoRR Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner
2023	J	`jnl`	Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2023	J	`jnl`	Supervised structure learning. CoRR Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley
2022	J	`jnl`	A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Bird-Eye Transformers for Text Generation Models. CoRR Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz
2022	J	`jnl`	Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Predictive Coding beyond Gaussian Distributions. NeurIPS Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
2022	J	`jnl`	Predictive Coding beyond Gaussian Distributions. CoRR Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz
2022	A*	`conf`	Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	J	`jnl`	Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz
2022	A*	`conf`	Reverse Differentiation via Predictive Coding. AAAI Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Robust Graph Representation Learning via Predictive Coding. CoRR Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz
2022	A*	`conf`	Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2022	J	`jnl`	Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
2021	A*	`conf`	Associative Memories via Predictive Coding. NeurIPS Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	Associative Memories via Predictive Coding. CoRR Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2021	J	`jnl`	Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
2020	A*	`conf`	BoxE: A Box Embedding Model for Knowledge Base Completion. NeurIPS Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori
2020	J	`jnl`	BoxE: A Box Embedding Model for Knowledge Base Completion. CoRR Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori