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We present FoldFlow a novel flow matching model for protein design. We present theory and practical tricks for flow models over SE (3)^N. Empirically, we validate these models on protein backbone generation of up to 300 amino acids leading to high-quality designable, diverse, and novel samples.
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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It is increasingly common to encounter data from dynamic processes captured by static crosssectional measurements over time, particularly in biomedical settings. Recent attempts to model individual trajectories from this data use optimal transport to create pairwise matchings between time points.
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View Alex Tong’s profile on LinkedIn, a professional community of 1 billion members.
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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.
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Aug 30, 2023 · Training CNFs with CFM improves results on a variety of conditional and unconditional generation tasks, such as inferring single cell dynamics, unsupervised image translation, and Schrödinger ...
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- Valence Labs