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Ben Sorscher
Ben Sorscher
Verified email at stanford.edu
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Year
Beyond neural scaling laws: beating power law scaling via data pruning
B Sorscher, R Geirhos, S Shekhar, S Ganguli, A Morcos
Advances in Neural Information Processing Systems 35, 19523-19536, 2022
2122022
A unified theory for the origin of grid cells through the lens of pattern formation
B Sorscher, G Mel, S Ganguli, SA Ocko
Advances in Neural Information Processing Systems 32, 2019
682019
A unified theory for the computational and mechanistic origins of grid cells
B Sorscher, GC Mel, SA Ocko, LM Giocomo, S Ganguli
Neuron 111 (1), 121-137. e13, 2023
642023
Neural representational geometry underlies few-shot concept learning
B Sorscher, S Ganguli, H Sompolinsky
Proceedings of the National Academy of Sciences 119 (43), e2200800119, 2022
502022
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
A Nayebi, A Attinger, M Campbell, K Hardcastle, I Low, CS Mallory, G Mel, ...
Advances in Neural Information Processing Systems 34, 12167-12179, 2021
262021
When and why grid cells appear or not in trained path integrators
B Sorscher, GC Mel, A Nayebi, L Giocomo, D Yamins, S Ganguli
bioRxiv, 2022.11. 14.516537, 2022
42022
One-shot entorhinal maps enable flexible navigation in novel environments
JH Wen, B Sorscher, S Ganguli, L Giocomo
bioRxiv, 2023.09. 07.556744, 2023
22023
A theory of weight distribution-constrained learning
W Zhong, B Sorscher, D Lee, H Sompolinsky
Advances in Neural Information Processing Systems 35, 14113-14127, 2022
22022
A theory of learning with constrained weight-distribution
W Zhong, B Sorscher, DD Lee, H Sompolinsky
arXiv preprint arXiv:2206.08933, 2022
22022
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Articles 1–9