Michael Kleinman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Healthcare Providers

Immune Algorithm

Multimodal Information

Top Venues

Publications

Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods Emerge Even in Deep Linear Networks. ICLR (2024)
James Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Yen Minh Lam, Nguyen Thi Thu Hang, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekwati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, David A. Clifton, Louise Thwaites, Yael Bensoussan, Bradford Wood
Voice EHR: Introducing Multimodal Audio Data for Health. CoRR (2024)
Jakub Smékal, Jimmy T. H. Smith, Michael Kleinman, Dan Biderman, Scott W. Linderman
Towards a theory of learning dynamics in deep state space models. CoRR (2024)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Gacs-Korner Common Information Variational Autoencoder. NeurIPS (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods Emerge Even in Deep Linear Networks. CoRR (2023)
Michael Kleinman, Alessandro Achille, Stefano Soatto
Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR (2022)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Gacs-Korner Common Information Variational Autoencoder. CoRR (2022)
Brandon McMahan, Michael Kleinman, Jonathan C. Kao
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks. NeurIPS (2021)
Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Redundant Information Neural Estimation. Entropy 23 (7) (2021)
Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao
A mechanistic multi-area recurrent network model of decision-making. NeurIPS (2021)
Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao
Usable Information and Evolution of Optimal Representations During Training. ICLR (2021)
Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao
Usable Information and Evolution of Optimal Representations During Training. CoRR (2020)