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Michael Kleinman
Michael Kleinman
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Ensemble multicolour FRET model enables barcoding at extreme FRET levels
M Dagher, M Kleinman, A Ng, D Juncker
Nature nanotechnology 13 (10), 925-932, 2018
562018
A mechanistic multi-area recurrent network model of decision-making
M Kleinman, C Chandrasekaran, J Kao
Advances in neural information processing systems 34, 23152-23165, 2021
27*2021
Redundant Information Neural Estimation
M Kleinman, A Achille, S Soatto, J Kao
Entropy 23 (7), 922, 2021
112021
Usable Information and Evolution of Optimal Representations During Training
M Kleinman, A Achille, D Idnani, JC Kao
International Conference on Learning Representations, 2021
112021
Gacs-Korner Common Information Variational Autoencoder
M Kleinman, A Achille, S Soatto, J Kao
NeurIPS 2023, 2023
52023
Critical learning periods for multisensory integration in deep networks
M Kleinman, A Achille, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
B McMahan, M Kleinman, J Kao
Advances in Neural Information Processing Systems 34, 21972-21983, 2021
32021
Critical Learning Periods Emerge Even in Deep Linear Networks
M Kleinman, A Achille, S Soatto
ICLR 2024, arXiv preprint arXiv:2308.12221, 2023
22023
A cortical information bottleneck during decision-making
M Kleinman, T Wang, D Xiao, E Feghhi, K Lee, N Carr, Y Li, N Hadidi, ...
bioRxiv, 2023
12023
On the Structure and Learning of Perceptual Representations in Deep Neural Networks
MJ Kleinman
University of California, Los Angeles, 2023
2023
Method for optimizing fluorescence-based detection
D Juncker, M Dagher, M Kleinman
US Patent App. 16/153,071, 2019
2019
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Articles 1–11