Blake A. Richards

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

Neural Dynamics

Conjugate Priors

Biologically Motivated

Credit Assignment

Top Venues

Nat. Mach. Intell.

Publications

Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto, Zixuan Wang, Mehdi Azabou, Blake A. Richards, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole L. Hurwitz
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. CoRR (2024)
David Raposo, Samuel Ritter, Blake A. Richards, Timothy P. Lillicrap, Peter Conway Humphreys, Adam Santoro
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models. CoRR (2024)
Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake A. Richards, Irina Rish, Özgür Simsek
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent. CoRR (2024)
Kumar Krishna Agrawal, Arna Ghosh, Adam Oberman, Blake A. Richards
Addressing Sample Inefficiency in Multi-View Representation Learning. CoRR (2023)
Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A. Richards
Synaptic Weight Distributions Depend on the Geometry of Plasticity. CoRR (2023)
Colin Bredenberg, Ezekiel Williams, Cristina Savin, Blake A. Richards, Guillaume Lajoie
Formalizing locality for normative synaptic plasticity models. NeurIPS (2023)
Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
A Unified, Scalable Framework for Neural Population Decoding. NeurIPS (2023)
Pingsheng Li, Jonathan Cornford, Arna Ghosh, Blake A. Richards
Learning better with Dale's Law: A Spectral Perspective. NeurIPS (2023)
Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL. NeurIPS (2023)
Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael J. Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
A Unified, Scalable Framework for Neural Population Decoding. CoRR (2023)
Annik Yalnizyan-Carson, Blake A. Richards
Forgetting Enhances Episodic Control With Structured Memories. Frontiers Comput. Neurosci. 16 (2022)
Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. AAAI (2022)
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
Evaluating Multimodal Interactive Agents. CoRR (2022)
Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. CoRR (2022)
Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. NeurIPS (2022)
Chen Sun, Wannan Yang, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards
Contrastive introspection (ConSpec) to rapidly identify invariant steps for success. CoRR (2022)
Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
Towards Scaling Difference Target Propagation by Learning Backprop Targets. ICML (2022)
Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards
Investigating Power laws in Deep Representation Learning. CoRR (2022)
Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie, Blake A. Richards
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer. CoRR (2022)
Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. CoRR (2022)
Blake A. Richards, Timothy P. Lillicrap
The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics. Frontiers Comput. Sci. 4 (2022)
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
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR (2022)
Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
Towards Scaling Difference Target Propagation by Learning Backprop Targets. CoRR (2022)
Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake A. Richards, Guillaume Lajoie
On Neural Architecture Inductive Biases for Relational Tasks. CoRR (2022)
Kumar Krishna Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake A. Richards
$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay. NeurIPS (2022)
Patrick J. Mineault, Shahab Bakhtiari, Blake A. Richards, Christopher C. Pack
Your head is there to move you around: Goal-driven models of the primate dorsal pathway. NeurIPS (2021)
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, Bratislav Misic
Learning function from structure in neuromorphic networks. Nat. Mach. Intell. 3 (9) (2021)
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
Adversarial Feature Desensitization. NeurIPS (2021)
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
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR (2021)
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
CCN GAC Workshop: Issues with learning in biological recurrent neural networks. CoRR (2021)
Luke Y. Prince, Blake A. Richards
The overfitted brain hypothesis. Patterns 2 (5) (2021)
Olivier Tessier-Larivière, Luke Y. Prince, Pascal Fortier-Poisson, Lorenz Wernisch, Oliver Armitage, Emil Hewage, Guillaume Lajoie, Blake A. Richards
PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks. NER (2021)
Pouya Bashivan, Blake A. Richards, Irina Rish
Adversarial Feature Desensitization. CoRR (2020)
Jordan Guerguiev, Konrad P. Körding, Blake A. Richards
Spike-based causal inference for weight alignment. ICLR (2020)
Blake A. Richards
Moving beyond reward prediction errors. Nat. Mach. Intell. 1 (5) (2019)
Jordan Guerguiev, Konrad P. Körding, Blake A. Richards
Spike-based causal inference for weight alignment. CoRR (2019)
Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy P. Lillicrap
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. CoRR (2018)
Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris, Geoffrey E. Hinton, Timothy P. Lillicrap
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. NeurIPS (2018)
Nathan Insel, Jordan Guerguiev, Blake A. Richards
Irrelevance by inhibition: Learning, computation, and implications for schizophrenia. PLoS Comput. Biol. 14 (8) (2018)
John Vervaeke, Timothy P. Lillicrap, Blake A. Richards
Relevance Realization and the Emerging Framework in Cognitive Science. J. Log. Comput. 22 (1) (2012)