Nikhil Parthasarathy
Google (United States)(US)DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, Neuroscience and Neural Engineering, Semantic Web and Ontologies, Neural Networks and Applications
Most-Cited Works
- → Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons(2017)45 cited
- → Simulation of visual perception and learning with a retinal prosthesis(2018)31 cited
- → SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features(2025)7 cited
- → Towards In-context Scene Understanding(2023)6 cited
- → Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods(2022)5 cited
- → Self-Supervised Learning of a Biologically-Inspired Visual Texture Model(2020)4 cited
- → Plenoptic: A platform for synthesizing model-optimized visual stimuli(2023)3 cited
- An efficient algorithm for blade loss simulations applied to a high-order rotor dynamics problem(2004)