Michael Kleinman
6 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Keyword Champion
(2)
Conferences
NIPS (3)
ICLR (2)
CVPR (1)
Top co-authors
Keywords
computational neuroscience
(2)
recurrent neural network
(2)
self-supervised learning
(1)
attractor dynamics
(1)
biological plausibility
(1)
multisensory integration
(1)
variational autoencoder
(1)
latent factor
(1)
factor disentanglement
(1)
representational geometry
(1)
common information
(1)
critical learning period
(1)
cortical computation
(1)
cross-source reconstruction
(1)
multi-area computation
(1)
information theory
(1)
cortical area
(1)
representation learning
(1)
Papers
Critical Learning Periods Emerge Even in Deep Linear Networks
ICLR 2024
Gacs-Korner Common Information Variational Autoencoder
NIPS 2023
Critical Learning Periods for Multisensory Integration in Deep Networks
CVPR 2023
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
NIPS 2021
A mechanistic multi-area recurrent network model of decision-making
NIPS 2021
Usable Information and Evolution of Optimal Representations During Training
ICLR 2021