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ORCIDNikhil Parthasarathy
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2020 – today
- 2024
[j1]Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli:
Layerwise complexity-matched learning yields an improved model of cortical area V2. Trans. Mach. Learn. Res. 2024 (2024)- [i8]Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff:
Data curation via joint example selection further accelerates multimodal learning. CoRR abs/2406.17711 (2024) - 2023
- [c3]Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff:
Towards In-context Scene Understanding. NeurIPS 2023 - [c2]Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff:
Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS 2023 - [i7]Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff:
Towards In-context Scene Understanding. CoRR abs/2306.01667 (2023) - [i6]Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
:
Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR abs/2312.11436 (2023) - [i5]Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung:
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR abs/2312.14285 (2023) - 2022
- [i4]Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff:
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR abs/2209.15589 (2022) - [i3]Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff:
Self-supervised video pretraining yields strong image representations. CoRR abs/2210.06433 (2022) - 2020
- [i2]Nikhil Parthasarathy, Eero P. Simoncelli:
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model. CoRR abs/2006.16976 (2020)
2010 – 2019
- 2019
- [i1]Reuben Feinman, Nikhil Parthasarathy:
Robust Nonlinear Component Estimation with Tikhonov Regularization. CoRR abs/1907.06496 (2019) - 2017
- [c1]Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski:
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons. NIPS 2017: 6434-6445
Coauthor Index
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