Richards, Blake Aaron

17 publications

ICLR 2026 Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining Sangyoon Bae, Mehdi Azabou, Blake Aaron Richards, Jiook Cha

ICLR 2026 Learning from the past with Cascading Eligibility Traces Tokiniaina Raharison Ralambomihanta, Ivan Anokhin, Roman Pogodin, Samira Ebrahimi Kahou, Jonathan Cornford, Blake Aaron Richards

NeurIPS 2025 Know Thyself by Knowing Others: Learning Neuron Identity from Population Context Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake Aaron Richards, Cole Lincoln Hurwitz, Josh Siegle, Eva L Dyer

ICLR 2025 Multi-Agent Cooperation Through Learning-Aware Policy Gradients Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Aguera y Arcas, Joao Sacramento

ICLR 2025 Multi-Session, Multi-Task Neural Decoding from Distinct Cell-Types and Brain Regions Mehdi Azabou, Krystal Xuejing Pan, Vinam Arora, Ian Jarratt Knight, Eva L Dyer, Blake Aaron Richards

NeurIPS 2025 Tracing the Representation Geometry of Language Models from Pretraining to Post-Training Melody Zixuan Li, Kumar Krishna Agrawal, Arna Ghosh, Komal Kumar Teru, Adam Santoro, Guillaume Lajoie, Blake Aaron Richards

ICMLW 2024 Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Aaron Richards, Irina Rish, Özgür Şimşek

ICLR 2024 Sufficient Conditions for Offline Reactivation in Recurrent Neural Networks Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake Aaron Richards, Guillaume Lajoie

ICLR 2024 Synaptic Weight Distributions Depend on the Geometry of Plasticity Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake Aaron Richards

ICLR 2023 How Gradient Estimator Variance and Bias Impact Learning in Neural Networks Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad Kording, Blake Aaron Richards

NeurIPSW 2023 On the Information Geometry of Vision Transformers Sonia Joseph, Kumar Krishna Agrawal, Arna Ghosh, Blake Aaron Richards

NeurIPSW 2023 On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning Matteo Gamba, Arna Ghosh, Kumar Krishna Agrawal, Blake Aaron Richards, Hossein Azizpour, Mårten Björkman

NeurIPSW 2023 On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning Matteo Gamba, Arna Ghosh, Kumar Krishna Agrawal, Blake Aaron Richards, Hossein Azizpour, Mårten Björkman

NeurIPSW 2023 Sufficient Conditions for Offline Reactivation in Recurrent Neural Networks Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake Aaron Richards, Guillaume Lajoie

TMLR 2023 Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer Damjan Kalajdzievski, Ximeng Mao, Pascal Fortier-Poisson, Guillaume Lajoie, Blake Aaron Richards

ICLRW 2022 Inductive Biases for Relational Tasks Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake Aaron Richards, Guillaume Lajoie

ICLR 2021 Learning to Live with Dale's Principle: ANNs with Separate Excitatory and Inhibitory Units Jonathan Cornford, Damjan Kalajdzievski, Marco Leite, Amélie Lamarquette, Dimitri Michael Kullmann, Blake Aaron Richards