Blake A. Richards

58 papers A* 16Journal 41Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inhibitory normalization of error signals improves learning in neural circuits. CoRR Roy Henha Eyono, Daniel Levenstein, Arna Ghosh, Jonathan Cornford, Blake A. Richards
2026	J	`jnl`	Interpreting Physics in Video World Models. CoRR Sonia Joseph, Quentin Garrido, Randall Balestriero, Matthew Kowal, Thomas Fel, Shahab Bakhtiari, Blake A. Richards, Mike Rabbat
2025	J	`jnl`	Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL. CoRR Sangyoon Bae, Mehdi Azabou, Jiook Cha, Blake A. Richards
2025	J	`jnl`	Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning. CoRR Alexander Meulemans, Rajai Nasser, Maciej Wolczyk, Marissa A. Weis, Seijin Kobayashi, Blake A. Richards, Guillaume Lajoie, Angelika Steger, Marcus Hutter, James Manyika, Rif A. Saurous, João Sacramento, Blaise Agüera y Arcas
2025	J	`jnl`	Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning. CoRR Seijin Kobayashi, Yanick Schimpf, Maximilian Schlegel, Angelika Steger, Maciej Wolczyk, Johannes von Oswald, Nino Scherrer, Kaitlin Maile, Guillaume Lajoie, Blake A. Richards, Rif A. Saurous, James Manyika, Blaise Agüera y Arcas, Alexander Meulemans, João Sacramento
2025	J	`jnl`	Know Thyself by Knowing Others: Learning Neuron Identity from Population Context. CoRR Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake A. Richards, Cole L. Hurwitz, Joshua H. Siegle, Eva L. Dyer
2025	J	`jnl`	Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists? CoRR Anthony GX-Chen, Dongyan Lin, Mandana Samiei, Doina Precup, Blake A. Richards, Rob Fergus, Kenneth Marino
2025	J	`jnl`	MIMIC-MJX: Neuromechanical Emulation of Animal Behavior. CoRR Charles Y. Zhang, Yuanjia Yang, Aidan Sirbu, Elliott T. T. Abe, Emil Wärnberg, Eric J. Leonardis, Diego E. Aldarondo, Adam Lee, Aaditya Prasad, Jason Foat, Kaiwen Bian, Joshua Park, Rusham Bhatt, Hutton Saunders, Akira Nagamori, Ayesha R. Thanawalla, Kee Wui Huang, Fabian Plum, Hendrik K. Beck, Steven W. Flavell, David Labonte, Blake A. Richards, Bingni W. Brunton, Eiman Azim, Bence Ölveczky, Talmo D. Pereira
2025	J	`jnl`	Sufficient conditions for offline reactivation in recurrent neural networks. CoRR Nanda H. Krishna, Colin Bredenberg, Daniel Levenstein, Blake A. Richards, Guillaume Lajoie
2025	J	`jnl`	The challenge of hidden gifts in multi-agent reinforcement learning. CoRR Dane Malenfant, Blake A. Richards
2025	J	`jnl`	Tracing the Representation Geometry of Language Models from Pretraining to Post-training. CoRR Melody Zixuan Li, Kumar Krishna Agrawal, Arna Ghosh, Komal Kumar Teru, Adam Santoro, Guillaume Lajoie, Blake A. Richards
2025	J	`jnl`	Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy. CoRR Arna Ghosh, Zahraa Chorghay, Shahab Bakhtiari, Blake A. Richards
2024	A*	`conf`	Harnessing small projectors and multiple views for efficient vision pretraining. NeurIPS Arna Ghosh, Kumar Krishna Agrawal, Shagun Sodhani, Adam Oberman, Blake A. Richards
2024	J	`jnl`	Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent. CoRR Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake A. Richards, Irina Rish, Özgür Simsek
2024	A*	`conf`	Learning Successor Features the Simple Way. NeurIPS Raymond Chua, Arna Ghosh, Christos Kaplanis, Blake A. Richards, Doina Precup
2024	J	`jnl`	Learning Successor Features the Simple Way. CoRR Raymond Chua, Arna Ghosh, Christos Kaplanis, Blake A. Richards, Doina Precup
2024	J	`jnl`	Mixture-of-Depths: Dynamically allocating compute in transformer-based language models. CoRR David Raposo, Samuel Ritter, Blake A. Richards, Timothy P. Lillicrap, Peter Conway Humphreys, Adam Santoro
2024	J	`jnl`	Multi-agent cooperation through learning-aware policy gradients. CoRR Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake A. Richards, Guillaume Lajoie, Blaise Agüera y Arcas, João Sacramento
2024	A*	`conf`	Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution. NeurIPS Yizi Zhang, Yanchen Wang, Donato Jiménez-Benetó, Zixuan Wang, Mehdi Azabou, Blake A. Richards, Renee Tung, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole L. Hurwitz
2024	J	`jnl`	Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. CoRR Yizi Zhang, Yanchen Wang, Donato Jiménez-Benetó, Zixuan Wang, Mehdi Azabou, Blake A. Richards, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole L. Hurwitz
2023	A*	`conf`	A Unified, Scalable Framework for Neural Population Decoding. NeurIPS Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
2023	J	`jnl`	A Unified, Scalable Framework for Neural Population Decoding. CoRR Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael J. Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
2023	J	`jnl`	Addressing Sample Inefficiency in Multi-View Representation Learning. CoRR Kumar Krishna Agrawal, Arna Ghosh, Adam Oberman, Blake A. Richards
2023	A*	`conf`	Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL. NeurIPS Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards
2023	A*	`conf`	Formalizing locality for normative synaptic plasticity models. NeurIPS Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake A. Richards, Guillaume Lajoie
2023	A*	`conf`	Learning better with Dale's Law: A Spectral Perspective. NeurIPS Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake A. Richards
2023	J	`jnl`	Synaptic Weight Distributions Depend on the Geometry of Plasticity. CoRR Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A. Richards
2022	A*	`conf`	$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay. NeurIPS Kumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake A. Richards
2022	A*	`conf`	A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. AAAI Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
2022	J	`jnl`	A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. CoRR Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
2022	A*	`conf`	Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. NeurIPS Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie
2022	J	`jnl`	Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. CoRR Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie
2022	J	`jnl`	Contrastive introspection (ConSpec) to rapidly identify invariant steps for success. CoRR Chen Sun, Wannan Yang, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards
2022	J	`jnl`	Evaluating Multimodal Interactive Agents. CoRR Josh Abramson, Arun Ahuja, Federico Carnevale, Petko Georgiev, Alex Goldin, Alden Hung, Jessica Landon, Timothy P. Lillicrap, Alistair Muldal, Blake A. Richards, Adam Santoro, Tamara von Glehn, Greg Wayne, Nathaniel Wong, Chen Yan
2022	J	`jnl`	Forgetting Enhances Episodic Control With Structured Memories. Frontiers Comput. Neurosci. Annik Yalnizyan-Carson, Blake A. Richards
2022	J	`jnl`	Investigating Power laws in Deep Representation Learning. CoRR Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards
2022	J	`jnl`	On Neural Architecture Inductive Biases for Relational Tasks. CoRR Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake A. Richards, Guillaume Lajoie
2022	J	`jnl`	The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics. Frontiers Comput. Sci. Blake A. Richards, Timothy P. Lillicrap
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
2022	A*	`conf`	Towards Scaling Difference Target Propagation by Learning Backprop Targets. ICML Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
2022	J	`jnl`	Towards Scaling Difference Target Propagation by Learning Backprop Targets. CoRR Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
2022	J	`jnl`	Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer. CoRR Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie, Blake A. Richards
2021	A*	`conf`	Adversarial Feature Desensitization. NeurIPS Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
2021	J	`jnl`	CCN GAC Workshop: Issues with learning in biological recurrent neural networks. CoRR Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin, Katharina Anna Wilmes
2021	J	`jnl`	From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne
2021	J	`jnl`	Learning function from structure in neuromorphic networks. Nat. Mach. Intell. Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, Bratislav Misic
2021	—	`conf`	PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks. NER Olivier Tessier-Larivière, Luke Y. Prince, Pascal Fortier-Poisson, Lorenz Wernisch, Oliver Armitage, Emil Hewage, Guillaume Lajoie, Blake A. Richards
2021	A*	`conf`	The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning. NeurIPS Shahab Bakhtiari, Patrick J. Mineault, Timothy P. Lillicrap, Christopher C. Pack, Blake A. Richards
2021	J	`jnl`	The overfitted brain hypothesis. Patterns Luke Y. Prince, Blake A. Richards
2021	A*	`conf`	Your head is there to move you around: Goal-driven models of the primate dorsal pathway. NeurIPS Patrick J. Mineault, Shahab Bakhtiari, Blake A. Richards, Christopher C. Pack
2020	J	`jnl`	Adversarial Feature Desensitization. CoRR Pouya Bashivan, Blake A. Richards, Irina Rish
2020	A*	`conf`	Spike-based causal inference for weight alignment. ICLR Jordan Guerguiev, Konrad P. Körding, Blake A. Richards
2019	J	`jnl`	Moving beyond reward prediction errors. Nat. Mach. Intell. Blake A. Richards
2019	J	`jnl`	Spike-based causal inference for weight alignment. CoRR Jordan Guerguiev, Konrad P. Körding, Blake A. Richards
2018	A*	`conf`	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. NeurIPS Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris, Geoffrey E. Hinton, Timothy P. Lillicrap
2018	J	`jnl`	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. CoRR Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy P. Lillicrap
2018	J	`jnl`	Irrelevance by inhibition: Learning, computation, and implications for schizophrenia. PLoS Comput. Biol. Nathan Insel, Jordan Guerguiev, Blake A. Richards
2012	J	`jnl`	Relevance Realization and the Emerging Framework in Cognitive Science. J. Log. Comput. John Vervaeke, Timothy P. Lillicrap, Blake A. Richards