Abhimanyu Dubey

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Abhimanyu is a Research Scientist at Facebook AI Research working on problems in machine learning. He received his Ph.D. in 2021 from the Massachusetts Institute of Technology, where he worked on problems in differential privacy, heavy-tailed robustness and out-of-distribution generalization in multi-agent online learning, advised by Professor Alex Pentland. Prior to this, he received a master's degree in Computer Science and bachelor's degree in Electrical Engineering at IIT Delhi, where he was advised by Professor Sumeet Agarwal, and was a post-baccalaureate fellow at the Department of Economics at Harvard, under Professor Ed Glaeser.

Abhimanyu's Work

Abhimanyu's Publications

September 27, 2023

COMPUTER VISION

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Xiaoliang Dai, Ji Hou, Kevin Chih-Yao Ma, Sam Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue (R) Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yiwen Song, Yi Wen, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

September 27, 2023

November 10, 2022

HUMAN & MACHINE INTELLIGENCE

CORE MACHINE LEARNING

Scalable Interpretability via Polynomials

Abhimanyu Dubey, Dhruv Mahajan, Filip Radenovic

November 10, 2022

November 06, 2022

RESEARCH

COMPUTER VISION

Neural Basis Models for Interpretability

Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan

November 06, 2022