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Tommaso Salvatori
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2020 – today
- 2024
- [c13]Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR 2024 - [c12]Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz:
Predictive Coding beyond Correlations. ICML 2024 - [i24]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. CoRR abs/2402.10814 (2024) - [i23]Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori:
A Review of Neuroscience-Inspired Machine Learning. CoRR abs/2403.18929 (2024) - [i22]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:
Benchmarking Predictive Coding Networks - Made Simple. CoRR abs/2407.01163 (2024) - [i21]Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr:
From pixels to planning: scale-free active inference. CoRR abs/2407.20292 (2024) - [i20]Eli Sennesh, Hao Wu, Tommaso Salvatori:
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm. CoRR abs/2408.05834 (2024) - [i19]Ankur Arjun Mali, Tommaso Salvatori, Alexander Ororbia:
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. CoRR abs/2410.04708 (2024) - 2023
- [j1]Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz
:
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19(4) (2023) - [c11]Tommaso Salvatori
Associative Memories in the Feature Space. ECAI 2023: 2065-2072 - [c10]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR 2023 - [c9]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR 2023 - [c8]Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner:
Mathematical Capabilities of ChatGPT. NeurIPS 2023 - [i18]Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths
Mathematical Capabilities of ChatGPT. CoRR abs/2301.13867 (2023) - [i17]Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz:
Causal Inference via Predictive Coding. CoRR abs/2306.15479 (2023) - [i16]Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia:
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR abs/2308.07870 (2023) - [i15]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:
Supervised structure learning. CoRR abs/2311.10300 (2023) - [i14]Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead:
Active Inference and Intentional Behaviour. CoRR abs/2312.07547 (2023) - 2022
- [c7]Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz
Reverse Differentiation via Predictive Coding. AAAI 2022: 8150-8158 - [c6]Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML 2022: 15561-15583 - [c5]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022: 5538-5545 - [c4]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. NeurIPS 2022 - [c3]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS 2022 - [i13]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR abs/2201.13180 (2022) - [i12]Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR abs/2202.04557 (2022) - [i11]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR abs/2202.09467 (2022) - [i10]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR abs/2206.02629 (2022) - [i9]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR abs/2207.12316 (2022) - [i8]Lei Sha
Bird-Eye Transformers for Text Generation Models. CoRR abs/2210.03985 (2022) - [i7]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. CoRR abs/2211.03481 (2022) - [i6]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - [i5]Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz:
Robust Graph Representation Learning via Predictive Coding. CoRR abs/2212.04656 (2022) - 2021
- [c2]Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. NeurIPS 2021: 3874-3886 - [i4]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR abs/2103.03725 (2021) - [i3]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR abs/2103.04689 (2021) - [i2]Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. CoRR abs/2109.08063 (2021) - 2020
- [c1]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. NeurIPS 2020 - [i1]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. CoRR abs/2007.06267 (2020)
Coauthor Index
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