Michael Kleinman

Gacs-Korner Common Information Variational Autoencoder

Stefano Soatto, A. Achille, J. Kao, 2022, NeurIPS.

Critical Learning Periods for Multisensory Integration in Deep Networks

A. Achille, S. Soatto, Michael Kleinman, 2022, 2210.04643.

Recurrent neural network models of multi-area computation underlying decision-making

Jonathan C. Kao, Michael Kleinman, Chandramouli Chandrasekaran, 2019, bioRxiv.

A cortical information bottleneck during decision-making

Chandramouli Chandrasekaran, Tian-Yi Wang, J. Kao, 2023, bioRxiv.

Usable Information and Evolution of Optimal Representations During Training pdf

Alessandro Achille, Jonathan C. Kao, Daksh Idnani, 2020, ICLR.

A mechanistic multi-area recurrent network model of decision-making

Chandramouli Chandrasekaran, J. Kao, Michael Kleinman, 2021, NeurIPS.

Redundant Information Neural Estimation

Stefano Soatto, Alessandro Achille, Michael Kleinman, 2021, Entropy.

Critical Learning Periods Emerge Even in Deep Linear Networks

A. Achille, S. Soatto, Michael Kleinman, 2023, ArXiv.

Learning rule influences recurrent network representations but not attractor structure in decision-making tasks

J. Kao, Brandon McMahan, Michael Kleinman, 2021, NeurIPS.

Critical Learning Periods for Multisensory Integration in Deep Networks

A. Achille, S. Soatto, Michael Kleinman, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).