Surya Ganguli, Ph.D.
Affiliations: | 2004 | University of California, Berkeley, Berkeley, CA, United States |
Area:
Elementary Particles and High Energy PhysicsGoogle:
"Surya Ganguli"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Petr Horava | grad student | 2004 | UC Berkeley | |
| (Geometry from algebra: The holographic emergence of spacetime in string theory.) | ||||
Children
Sign in to add trainee| Andrew Saxe | grad student | (Neurotree) | |
| Alex Henry Williams | grad student | 2016- | (Neurotree) |
| Niru Maheswaranathan | grad student | 2011-2017 | Stanford (Neurotree) |
| Aran Nayebi | grad student | 2016-2022 | Stanford (Neurotree) |
| Friedemann Zenke | post-doc | 2015-2017 | (Neurotree) |
| Stéphane Deny | post-doc | 2017-2019 | Stanford (Computational Biology Tree) |
| Hidenori Tanaka | post-doc | 2018-2019 | Stanford |
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Publications
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| Kunin D, Sagastuy-Brena J, Gillespie L, et al. (2023) The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion. Neural Computation. 36: 151-174 |
| Maheswaranathan N, McIntosh LT, Tanaka H, et al. (2023) Interpreting the retinal neural code for natural scenes: From computations to neurons. Neuron |
| Ding X, Lee D, Melander JB, et al. (2023) Information Geometry of the Retinal Representation Manifold. Biorxiv : the Preprint Server For Biology |
| Zador A, Escola S, Richards B, et al. (2023) Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597 |
| Sorscher B, Mel GC, Ocko SA, et al. (2022) A unified theory for the computational and mechanistic origins of grid cells. Neuron |
| Sorscher B, Ganguli S, Sompolinsky H. (2022) Neural representational geometry underlies few-shot concept learning. Proceedings of the National Academy of Sciences of the United States of America. 119: e2200800119 |
| Stock CH, Harvey SE, Ocko SA, et al. (2022) Synaptic balancing: A biologically plausible local learning rule that provably increases neural network noise robustness without sacrificing task performance. Plos Computational Biology. 18: e1010418 |
| Nayebi A, Sagastuy-Brena J, Bear DM, et al. (2022) Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off between Task Performance and Network Size during Core Object Recognition. Neural Computation. 1-25 |
| Tanaka H, Nayebi A, Maheswaranathan N, et al. (2022) From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction. Advances in Neural Information Processing Systems. 32: 8537-8547 |
| Melander JB, Nayebi A, Jongbloets BC, et al. (2021) Distinct in vivo dynamics of excitatory synapses onto cortical pyramidal neurons and parvalbumin-positive interneurons. Cell Reports. 37: 109972 |