Kleinman, Michael

8 publications

ICLR 2024 Critical Learning Periods Emerge Even in Deep Linear Networks Michael Kleinman, Alessandro Achille, Stefano Soatto

CVPR 2023 Critical Learning Periods for Multisensory Integration in Deep Networks Michael Kleinman, Alessandro Achille, Stefano Soatto

NeurIPS 2023 Gacs-Korner Common Information Variational Autoencoder Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan Kao

NeurIPS 2021 A Mechanistic Multi-Area Recurrent Network Model of Decision-Making Michael Kleinman, Chandramouli Chandrasekaran, Jonathan Kao

NeurIPS 2021 Learning Rule Influences Recurrent Network Representations but Not Attractor Structure in Decision-Making Tasks Brandon McMahan, Michael Kleinman, Jonathan Kao

ICLRW 2021 Redundant Information Neural Estimation Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan Kao

ICLR 2021 Usable Information and Evolution of Optimal Representations During Training Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan Kao

NeurIPSW 2020 Usable Information and Evolution of Optimal Representations During Training Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan Kao