Nikhil Parthasarathy

19 papers A* 4Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Data Curation Effectively Distills Large-Scale Multimodal Models. CVPR Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff
2025	J	`jnl`	LayerLock: Non-collapsing Representation Learning with Progressive Freezing. CoRR Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, João Carreira
2025	J	`jnl`	Recurrent Video Masked Autoencoders. CoRR Daniel Zoran, Nikhil Parthasarathy, Yi Yang, Drew A. Hudson, João Carreira, Andrew Zisserman
2025	J	`jnl`	SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. CoRR Michael Tschannen, Alexey A. Gritsenko, Xiao Wang, Muhammad Ferjad Naeem, Ibrahim Alabdulmohsin, Nikhil Parthasarathy, Talfan Evans, Lucas Beyer, Ye Xia, Basil Mustafa, Olivier J. Hénaff, Jeremiah Harmsen, Andreas Steiner, Xiaohua Zhai
2024	J	`jnl`	Active Data Curation Effectively Distills Large-Scale Multimodal Models. CoRR Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff
2024	A*	`conf`	Data curation via joint example selection further accelerates multimodal learning. NeurIPS Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff
2024	J	`jnl`	Data curation via joint example selection further accelerates multimodal learning. CoRR Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff
2024	J	`jnl`	Layerwise complexity-matched learning yields an improved model of cortical area V2. Trans. Mach. Learn. Res. Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
2024	—	`conf`	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CPAL Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
2023	J	`jnl`	Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
2023	J	`jnl`	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
2023	A*	`conf`	Self-supervised video pretraining yields robust and more human-aligned visual representations. NeurIPS Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
2023	A*	`conf`	Towards In-context Scene Understanding. NeurIPS Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
2023	J	`jnl`	Towards In-context Scene Understanding. CoRR Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
2022	J	`jnl`	Self-supervised video pretraining yields strong image representations. CoRR Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
2022	J	`jnl`	Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff
2020	J	`jnl`	Self-Supervised Learning of a Biologically-Inspired Visual Texture Model. CoRR Nikhil Parthasarathy, Eero P. Simoncelli
2019	J	`jnl`	Robust Nonlinear Component Estimation with Tikhonov Regularization. CoRR Reuben Feinman, Nikhil Parthasarathy
2017	—	`conf`	Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons. NIPS Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski