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 (NIPS, 2017)

Robust Nonlinear Component Estimation with Tikhonov Regularization. - Reuben Feinman; Nikhil Parthasarathy (CoRR, 2019)

Self-Supervised Learning of a Biologically-Inspired Visual Texture Model. - Nikhil Parthasarathy; Eero P. Simoncelli (CoRR, 2020)

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. - Skanda Koppula; Yazhe Li; Evan Shelhamer; Andrew Jaegle; Nikhil Parthasarathy; Relja Arandjelovic; João Carreira 001; Olivier J. Hénaff (CoRR, 2022)

Self-supervised video pretraining yields strong image representations. - Nikhil Parthasarathy; S. M. Ali Eslami; João Carreira 001; Olivier J. Hénaff (CoRR, 2022)

Towards In-context Scene Understanding. - Ivana Balazevic; David Steiner 004; Nikhil Parthasarathy; Relja Arandjelovic; Olivier J. Hénaff (NeurIPS, 2023)

Self-supervised video pretraining yields robust and more human-aligned visual representations. - Nikhil Parthasarathy; S. M. Ali Eslami; João Carreira 001; Olivier J. Hénaff (NeurIPS, 2023)

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 (CPAL, 2024)

Data curation via joint example selection further accelerates multimodal learning. - Talfan Evans; Nikhil Parthasarathy; Hamza Merzic; Olivier J. Hénaff (NeurIPS, 2024)

Layerwise complexity-matched learning yields an improved model of cortical area V2. - Nikhil Parthasarathy; Olivier J. Hénaff; Eero P. Simoncelli (Trans. Mach. Learn. Res., 2024)

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. Hénaff (CVPR, 2025)

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. - Michael Tschannen; Alexey A. Gritsenko; Xiao Wang 038; Muhammad Ferjad Naeem; Ibrahim Alabdulmohsin; Nikhil Parthasarathy; Talfan Evans; Lucas Beyer; Ye Xia; Basil Mustafa; Olivier J. Hénaff; Jeremiah Harmsen; et al. (CoRR, 2025)