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Training with this objective leads to imprved results on a variety of conditional and unconditional generation tasks, such as inferring single cell dynamics, unsupervised image translation, and Schrodinger bridge inference. PDF Cite Code Video.
- Improving and Generalizing Flow-Based Generative Models with ...
Postdoctoral Fellow. My research interests include optimal...
- Improving and Generalizing Flow-Based Generative Models with ...
Improving and generalizing flow-based generative models with minibatch optimal transport. A Tong, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, K Fatras, G Wolf, ... arXiv preprint...
Visiting Researcher. Harvard John A. Paulson School of Engineering and Applied Sciences. Feb 2024 - Present 5 months. Boston, Massachusetts, United States. predicting how badly humans drive while...
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- San Ramon, California, United States
Postdoctoral Fellow. My research interests include optimal transport, graph scattering, and normalizing flows. We present methods for learning simple flows over R^d with optimal transport conditional flow matching (OT-CFM).
- Alex Tong
View Alex Tong’s profile on LinkedIn, a professional community of 1 billion members.
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- The New York Times
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- Jersey City, New Jersey, United States
Aug 30, 2023 · Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport | Alex Tong. Valence Labs. 5.34K subscribers. Subscribed. 4.1K views 6 months ago Graphs and Geometry ...
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- Valence Labs
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Aug 18, 2020 · Alex Tong. @alexktong. ·. Aug 18, 2020. Looking at the future, we believe in three core tenets that drive enterprise investment into modern financial software companies. That is: (1) financial management is no longer just the CFOs job; (2) automation becomes the norm; (3) finance truly becomes a strategic resource. 1.