Parthasarathy, Nikhil

8 publications

CVPR 2025 Active Data Curation Effectively Distills Large-Scale Multimodal Models Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Henaff

ICCV 2025 LayerLock: Non-Collapsing Representation Learning with Progressive Freezing Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, Joao Carreira

NeurIPS 2024 Data Curation via Joint Example Selection Further Accelerates Multimodal Learning Talfan Evans, Nikhil Parthasarathy, Hamza Merzić, Olivier J. Hénaff

TMLR 2024 Layerwise Complexity-Matched Learning Yields an Improved Model of Cortical Area V2 Nikhil Parthasarathy, Olivier J Henaff, Eero P Simoncelli

CPAL 2024 Probing Biological and Artificial Neural Networks with Task-Dependent Neural Manifolds Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung

NeurIPS 2023 Self-Supervised Video Pretraining Yields Robust and More Human-Aligned Visual Representations Nikhil Parthasarathy, S. M. Ali Eslami, Joao Carreira, Olivier Henaff

NeurIPS 2023 Towards In-Context Scene Understanding Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelović, Olivier Henaff

NeurIPS 2017 Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski