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Career

· Lead, Strategic Explorations, OpenAI2024–
· PhD in Computer Science, Stanford University2021–
· Research Assistant, Cornell University2018–2021
· Co-President, Artificial Intelligence Club, Cornell University
· Research Intern, Facebook AI
· Research Intern, Google
· Research Intern, Meta
· Research Intern, NVIDIA

Publications (26)

Diffusion Model Alignment Using Direct Preference Optimization
Computer Vision and Pattern Recognition · 2023
542
cited
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
International Conference on Machine Learning · 2023
337
cited
Denoising Diffusion Bridge Models
International Conference on Learning Representations · 2023
133
cited
Neural Manifold Ordinary Differential Equations
Neural Information Processing Systems · 2020
94
cited
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Neural Information Processing Systems · 2021
85
cited
Differentiating through the Fréchet Mean
International Conference on Machine Learning · 2020
78
cited
Reflected Diffusion Models
International Conference on Machine Learning · 2023
77
cited
Equivariant Graph Neural Operator for Modeling 3D Dynamics
International Conference on Machine Learning · 2024
45
cited
Equivariant Manifold Flows
Neural Information Processing Systems · 2021
26
cited
Riemannian Residual Neural Networks
Neural Information Processing Systems · 2023
24
cited
Scaling Riemannian Diffusion Models
Neural Information Processing Systems · 2023
13
cited
Adversarial Example Decomposition
arXiv.org · 2018
THE FIRST LAYER OF MATHNAWI, THE ART OF MOLAWI’S STORY-TELLING
2007
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Aaron Lou | Researcher Profile | Sotabase | Sotabase