Michael Kleinman

6 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)

Venues

NeurIPS (3) ICLR (2) CVPR (1)

Top co-authors

Jonathan Kao (4) Alessandro Achille (4) Stefano Soatto (3) Chandramouli Chandrasekaran (1) Daksh Idnani (1) Brandon McMahan (1)

Research topics

Machine Learning (5) Optimization & Theory (4) Deep Learning (3) Core Methods (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Architectures (2) Core AI (2) Interdisciplinary (1) Learning Types · Deep Learning (1) Science (1)

Keywords

representation learning (3) computational neuroscience (2) recurrent neural network (2) critical learning period (2) feature learning (1) transfer learning (1) self-supervised learning (1) attractor dynamics (1) biological plausibility (1) multisensory integration (1) variational autoencoder (1) latent factor (1) deep linear network (1) factor disentanglement (1) neural network (1) representational geometry (1) common information (1) cortical computation (1) cross-source reconstruction (1) multi-area computation (1)

Papers

Critical Learning Periods Emerge Even in Deep Linear Networks ICLR 2024 Critical Learning Periods for Multisensory Integration in Deep Networks CVPR 2023 Gacs-Korner Common Information Variational Autoencoder NeurIPS 2023 A mechanistic multi-area recurrent network model of decision-making NeurIPS 2021 Learning rule influences recurrent network representations but not attractor structure in decision-making tasks NeurIPS 2021 Usable Information and Evolution of Optimal Representations During Training ICLR 2021