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Andrew M Saxe

Showing results (1-10 of 10) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|October 6, 2020
High-dimensional dynamics of generalization error in neural networksMadhu S Advani, Andrew M Saxe, Haim Sompolinsky
Arxiv|July 29, 2024
Meta-Learning Strategies through Value Maximization in Neural NetworksRodrigo Carrasco-Davis, Javier Masís, Andrew M Saxe
Proceedings of the National Academy of Sciences of the United States of America|May 19, 2019
A mathematical theory of semantic development in deep neural networksAndrew M Saxe, James L McClelland, Surya Ganguli
Neuron|April 29, 2023
Mice identify subgoal locations through an action-driven mapping processPhilip Shamash, Sebastian Lee, Andrew M Saxe, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 5, 2026
Compositionality and systematicity emerge from iterated learning in deep linear networksDevon Jarvis, Richard Klein, Benjamin Rosman, et al.
Journal of Statistical Mechanics (Online)|July 15, 2021
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setupSebastian Goldt, Madhu S Advani, Andrew M Saxe, et al.
Journal of Statistical Mechanics (Online)|March 25, 2024
Exact learning dynamics of deep linear networks with prior knowledgeClémentine C J Dominé, Lukas Braun, James E Fitzgerald, et al.
Elife|February 14, 2023
Strategically managing learning during perceptual decision makingJavier Masís, Travis Chapman, Juliana Y Rhee, et al.
Arxiv|January 29, 2025
Flexible task abstractions emerge in linear networks with fast and bounded unitsKai Sandbrink, Jan P Bauer, Alexandra M Proca, et al.
Plos Computational Biology|October 21, 2024
Abrupt and spontaneous strategy switches emerge in simple regularised neural networksAnika T Löwe, Léo Touzo, Paul S Muhle-Karbe, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|October 6, 2020
High-dimensional dynamics of generalization error in neural networksMadhu S Advani, Andrew M Saxe, Haim Sompolinsky
Arxiv|July 29, 2024
Meta-Learning Strategies through Value Maximization in Neural NetworksRodrigo Carrasco-Davis, Javier Masís, Andrew M Saxe
Proceedings of the National Academy of Sciences of the United States of America|May 19, 2019
A mathematical theory of semantic development in deep neural networksAndrew M Saxe, James L McClelland, Surya Ganguli
Neuron|April 29, 2023
Mice identify subgoal locations through an action-driven mapping processPhilip Shamash, Sebastian Lee, Andrew M Saxe, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 5, 2026
Compositionality and systematicity emerge from iterated learning in deep linear networksDevon Jarvis, Richard Klein, Benjamin Rosman, et al.
Journal of Statistical Mechanics (Online)|July 15, 2021
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setupSebastian Goldt, Madhu S Advani, Andrew M Saxe, et al.
Journal of Statistical Mechanics (Online)|March 25, 2024
Exact learning dynamics of deep linear networks with prior knowledgeClémentine C J Dominé, Lukas Braun, James E Fitzgerald, et al.
Elife|February 14, 2023
Strategically managing learning during perceptual decision makingJavier Masís, Travis Chapman, Juliana Y Rhee, et al.
Arxiv|January 29, 2025
Flexible task abstractions emerge in linear networks with fast and bounded unitsKai Sandbrink, Jan P Bauer, Alexandra M Proca, et al.
Plos Computational Biology|October 21, 2024
Abrupt and spontaneous strategy switches emerge in simple regularised neural networksAnika T Löwe, Léo Touzo, Paul S Muhle-Karbe, et al.
Pageof 1