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2020 – today
- 2024
[j9]Christopher L. Buckley, Tim Lewens, Michael Levin
, Beren Millidge, Alexander Tschantz, Richard A. Watson:
Natural Induction: Spontaneous Adaptive Organisation without Natural Selection. Entropy 26(9): 765 (2024)- [j8]Beren Millidge, Mufeng Tang, Mahyar Osanlouy, Nicol S. Harper, Rafal Bogacz:
Predictive coding networks for temporal prediction. PLoS Comput. Biol. 20(4): 1011183 (2024) - [j7]Beren Millidge, Yuhang Song, Armin Lak, Mark E. Walton, Rafal Bogacz:
Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types. PLoS Comput. Biol. 20(11): 1012580 (2024) - [c17]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 - [c16]Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz:
Predictive Coding beyond Correlations. ICML 2024 - [i46]Quentin Anthony, Yury Tokpanov, Paolo Glorioso, Beren Millidge:
BlackMamba: Mixture of Experts for State-Space Models. CoRR abs/2402.01771 (2024) - [i45]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. CoRR abs/2402.10814 (2024) - [i44]Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori:
A Review of Neuroscience-Inspired Machine Learning. CoRR abs/2403.18929 (2024) - [i43]Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington, Jonathan Pilault, Adam Ibrahim, Beren Millidge:
Zamba: A Compact 7B SSM Hybrid Model. CoRR abs/2405.16712 (2024) - [i42]Nick Alonso, Tomas Figliolia, Anthony Ndirango, Beren Millidge:
Toward Conversational Agents with Context and Time Sensitive Long-term Memory. CoRR abs/2406.00057 (2024) - [i41]Yury Tokpanov, Beren Millidge, Paolo Glorioso, Jonathan Pilault, Adam Ibrahim, James Whittington, Quentin Anthony:
Zyda: A 1.3T Dataset for Open Language Modeling. CoRR abs/2406.01981 (2024) - [i40]Vasudev Shyam, Jonathan Pilault, Emily Shepperd, Quentin Anthony, Beren Millidge:
Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters. CoRR abs/2408.04093 (2024) - [i39]Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge:
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. CoRR abs/2409.08892 (2024) - [i38]Yury Tokpanov, Paolo Glorioso, Quentin Anthony, Beren Millidge:
Zyda-2: a 5 Trillion Token High-Quality Dataset. CoRR abs/2411.06068 (2024) - [i37]Paolo Glorioso, Quentin Anthony, Yury Tokpanov, Anna Golubeva, Vasudev Shyam, James Whittington, Jonathan Pilault, Beren Millidge:
The Zamba2 Suite: Technical Report. CoRR abs/2411.15242 (2024) - [i36]Nicholas Alonso, Beren Millidge:
Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG. CoRR abs/2412.06078 (2024) - 2023
- [j6]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) - [j5]Alexander Tscshantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Hybrid predictive coding: Inferring, fast and slow. PLoS Comput. Biol. 19(8) (2023) - [c15]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. ECAI 2023: 2065-2072 - [c14]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 - [c13]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR 2023 - [c12]Miguel De Llanza Varona, Christopher L. Buckley, Beren Millidge:
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory. IWAI 2023: 189-203 - [i35]Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz:
Causal Inference via Predictive Coding. CoRR abs/2306.15479 (2023) - [i34]Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin:
Collective behavior from surprise minimization. CoRR abs/2307.14804 (2023) - 2022
- [j4]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. J. Open Source Softw. 7(73): 4098 (2022) - [j3]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs. Neural Comput. 34(6): 1329-1368 (2022) - [c11]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 - [c10]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022: 5538-5545 - [c9]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. IWAI 2022: 1-15 - [c8]Beren Millidge, Christopher L. Buckley:
Active Inference Successor Representations. IWAI 2022: 151-161 - [c7]Alex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Capsule Networks as Generative Models. IWAI 2022: 192-209 - [c6]Nick Alonso, Beren Millidge, Jeffrey L. Krichmar, Emre O. Neftci:
A Theoretical Framework for Inference Learning. NeurIPS 2022 - [c5]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. NeurIPS 2022 - [c4]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS 2022 - [i33]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. CoRR abs/2201.03904 (2022) - [i32]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) - [i31]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) - [i30]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) - [i29]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Hybrid Predictive Coding: Inferring, Fast and Slow. CoRR abs/2204.02169 (2022) - [i28]Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci:
A Theoretical Framework for Inference Learning. CoRR abs/2206.00164 (2022) - [i27]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) - [i26]Beren Millidge, Christopher L. Buckley:
Successor Representation Active Inference. CoRR abs/2207.09897 (2022) - [i25]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) - [i24]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. CoRR abs/2208.07114 (2022) - [i23]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. CoRR abs/2211.03481 (2022) - [i22]Sid Black, Lee Sharkey, Léo Grinsztajn, Eric Winsor, Dan Braun, Jacob Merizian, Kip Parker, Carlos Ramón Guevara, Beren Millidge, Gabriel Alfour, Connor Leahy:
Interpreting Neural Networks through the Polytope Lens. CoRR abs/2211.12312 (2022) - [i21]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - [i20]Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René:
Designing Ecosystems of Intelligence from First Principles. CoRR abs/2212.01354 (2022) - 2021
- [j2]Axel Constant, Alexander Tschantz, Beren Millidge, Felipe Criado-Boado, Luis M. Martinez, Johannes Müller, Andy Clark:
The Acquisition of Culturally Patterned Attention Styles Under Active Inference. Frontiers Neurorobotics 15: 729665 (2021) - [j1]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? Neural Comput. 33(2): 447-482 (2021) - [c3]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. PKDD/ECML Workshops (1) 2021: 830-842 - [i19]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Neural Kalman Filtering. CoRR abs/2102.10021 (2021) - [i18]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Understanding the origin of information-seeking exploration in probabilistic objectives for control. CoRR abs/2103.06859 (2021) - [i17]Beren Millidge:
Towards a Mathematical Theory of Abstraction. CoRR abs/2106.01826 (2021) - [i16]Alejandro Daniel Noel, Charel van Hoof, Beren Millidge:
Online reinforcement learning with sparse rewards through an active inference capsule. CoRR abs/2106.02390 (2021) - [i15]Beren Millidge:
Applications of the Free Energy Principle to Machine Learning and Neuroscience. CoRR abs/2107.00140 (2021) - [i14]Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Predictive Coding: a Theoretical and Experimental Review. CoRR abs/2107.12979 (2021) - [i13]Beren Millidge, Anil K. Seth, Christopher L. Buckley:
A Mathematical Walkthrough and Discussion of the Free Energy Principle. CoRR abs/2108.13343 (2021) - [i12]Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. CoRR abs/2109.00866 (2021) - [i11]Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani:
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR abs/2112.01871 (2021) - 2020
- [c2]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
On the Relationship Between Active Inference and Control as Inference. IWAI 2020: 3-11 - [c1]Casper Hesp, Alexander Tschantz, Beren Millidge, Maxwell Ramstead, Karl J. Friston, Ryan Smith:
Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. IWAI 2020: 179-186 - [i10]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning through Active Inference. CoRR abs/2002.12636 (2020) - [i9]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? CoRR abs/2004.08128 (2020) - [i8]Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs. CoRR abs/2006.04182 (2020) - [i7]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Reinforcement Learning as Iterative and Amortised Inference. CoRR abs/2006.10524 (2020) - [i6]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
On the Relationship Between Active Inference and Control as Inference. CoRR abs/2006.12964 (2020) - [i5]Alexander Tschantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Control as Hybrid Inference. CoRR abs/2007.05838 (2020) - [i4]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain. CoRR abs/2009.05359 (2020) - [i3]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Relaxing the Constraints on Predictive Coding Models. CoRR abs/2010.01047 (2020) - [i2]Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm. CoRR abs/2010.06219 (2020)
2010 – 2019
- 2019
- [i1]Beren Millidge:
Deep Active Inference as Variational Policy Gradients. CoRR abs/1907.03876 (2019)
Coauthor Index
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