Sotabase

Career

· Research Principal, Meta Superintelligence Labs2025–
· Researcher, OpenAI2022–2025
· Research Intern, Google Brain2020–
· Engineering Intern, Uber ATG2018–
· Research Intern, Microsoft Research2017–
· PhD in Computer Science, Stanford University2016–2022
· B.S. in Mathematics and Physics, Tsinghua University2012–2016
· Assistant Professor, Caltech

Publications (420)

GPT-4 Technical Report
2023
21,596
cited
Score-Based Generative Modeling through Stochastic Differential Equations
International Conference on Learning Representations · 2020
9,164
cited
Generative Modeling by Estimating Gradients of the Data Distribution
Neural Information Processing Systems · 2019
4,972
cited
Class-Balanced Loss Based on Effective Number of Samples
Computer Vision and Pattern Recognition · 2019
2,776
cited
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
International Conference on Learning Representations · 2021
1,935
cited
The iNaturalist Species Classification and Detection Dataset
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
1,919
cited
Consistency Models
International Conference on Machine Learning · 2023
1,489
cited
Improved Techniques for Training Score-Based Generative Models
Neural Information Processing Systems · 2020
1,383
cited
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Neural Information Processing Systems · 2021
843
cited
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
International Conference on Learning Representations · 2017
825
cited
Maximum Likelihood Training of Score-Based Diffusion Models
Neural Information Processing Systems · 2021
819
cited
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
International Conference on Learning Representations · 2021
669
cited
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
International Conference on Learning Representations · 2022
652
cited
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
517
cited
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Conference on Uncertainty in Artificial Intelligence · 2019
487
cited
Efficient Graph Generation with Graph Recurrent Attention Networks
Neural Information Processing Systems · 2019
387
cited
gpt-oss-120b&gpt-oss-20b Model Card
2025
357
cited
Constructing Unrestricted Adversarial Examples with Generative Models
Neural Information Processing Systems · 2018
342
cited
Permutation Invariant Graph Generation via Score-Based Generative Modeling
International Conference on Artificial Intelligence and Statistics · 2020
335
cited
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
arXiv.org · 2021
334
cited
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