Nikhil Parthasarathy

Researcher, Google DeepMind

Joined

July 2019

Names

Emails

****@nyu.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google DeepMind (google.com)

2024 – Present

PhD student

New York University (nyu.edu)

2017 – 2023

MS student

Stanford University (stanford.edu)

2015 – 2017

Undergrad student

Stanford University (stanford.edu)

2011 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Eero P. Simoncelli

2017 – 2023

MS Advisor

EJ Chichilnisky

2015 – 2017

Expertise

data curation

multi-modal learning

self-supervised learning

visual perception

representation learning

visual neuroscience

Present

Publications

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
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Readers: Everyone
Data curation via joint example selection further accelerates multimodal learning
Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J Henaff
- NeurIPS 2024 Track Datasets and Benchmarks Spotlight
- Readers: Everyone
Data curation via joint example selection further accelerates multimodal learning
Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff
- CoRR 2024
- Readers: Everyone
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
- Readers: Everyone
Layerwise complexity-matched learning yields an improved model of cortical area V2
Nikhil Parthasarathy, Olivier J Henaff, Eero P Simoncelli
- Accepted by TMLR
- Readers: Everyone
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 (Proceedings Track) Oral
- Readers: Everyone
Self-supervised video pretraining yields robust and more human-aligned visual representations
Nikhil Parthasarathy, S. M. Ali Eslami, Joao Carreira, Olivier J Henaff
- NeurIPS 2023 poster
- Readers: Everyone
Towards In-context Scene Understanding
Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J Henaff
- NeurIPS 2023 spotlight
- Readers: Everyone
Towards In-context Scene Understanding
Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff
- NeurIPS 2023
- Readers: Everyone
Self-supervised video pretraining yields robust and more human-aligned visual representations
Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff
- NeurIPS 2023
- Readers: Everyone

View all 17 publications

Co-Authors

View all 35 co-authors