Michael Kleinman

According to our database, Michael Kleinman authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Critical Learning Periods Emerge Even in Deep Linear Networks.

Michael Kleinman, Alessandro Achille, Stefano Soatto

CoRR, 2023

Gacs-Korner Common Information Variational Autoencoder.

Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Critical Learning Periods for Multisensory Integration in Deep Networks.

Michael Kleinman, Alessandro Achille, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Redundant Information Neural Estimation.

Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao

Entropy, 2021

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

Brandon McMahan, Michael Kleinman, Jonathan C. Kao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Usable Information and Evolution of Optimal Representations During Training.

Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao

Proceedings of the 9th International Conference on Learning Representations, 2021