Sotabase

Career

· Senior Director of AI Research, NVIDIA2018–2023
· Bren Professor of Computing and Mathematical Sciences, California Institute of Technology2017–
· Senior Research Scientist, Amazon Web Services2016–2018
· Associate Professor, University of California, Irvine2016–2017
· Assistant Professor, University of California, Irvine2010–2016
· Postdoctoral Researcher, Massachusetts Institute of Technology2009–2010
· Ph.D. Candidate, Cornell University2004–2009
· B.Tech in Electrical Engineering, Indian Institute of Technology Madras2000–2004

Publications (251)

Fourier Neural Operator for Parametric Partial Differential Equations
International Conference on Learning Representations · 2020
3,447
cited
Scientific discovery in the age of artificial intelligence
Nature · 2023
1,351
cited
Tensor decompositions for learning latent variable models
Journal of machine learning research · 2012
1,190
cited
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
arXiv.org · 2022
1,010
cited
Neural Operator: Graph Kernel Network for Partial Differential Equations
International Conference on Learning Representations · 2020
937
cited
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs
Journal of machine learning research · 2023
890
cited
Physics-Informed Neural Operator for Learning Partial Differential Equations
ACM / IMS Journal of Data Science · 2021
622
cited
Diffusion Models for Adversarial Purification
International Conference on Machine Learning · 2022
600
cited
Neural Operator: Learning Maps Between Function Spaces
arXiv.org · 2021
561
cited
Eureka: Human-Level Reward Design via Coding Large Language Models
International Conference on Learning Representations · 2023
488
cited
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Neural Information Processing Systems · 2020
476
cited
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Journal of machine learning research · 2022
452
cited
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Neural Information Processing Systems · 2023
354
cited
A Method of Moments for Mixture Models and Hidden Markov Models
Annual Conference Computational Learning Theory · 2012
346
cited
Neural Lander: Stable Drone Landing Control Using Learned Dynamics
IEEE International Conference on Robotics and Automation · 2018
319
cited
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Platform for Advanced Scientific Computing Conference · 2022
311
cited
A Spectral Algorithm for Latent Dirichlet Allocation
Algorithmica · 2012
304
cited
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
International Conference on Learning Representations · 2018
280
cited
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
Conference on Robot Learning · 2023
276
cited
Neural operators for accelerating scientific simulations and design
Nature Reviews Physics · 2023
274
cited
Sotabase