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06/15/2023
Unbalanced Diffusion Schrödinger Bridge
Schrödinger bridges (SBs) provide an elegant framework for modeling the ...
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02/22/2023
Aligned Diffusion Schrödinger Bridges
Diffusion Schrödinger bridges (DSB) have recently emerged as a powerful ...
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09/30/2022
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings
Comparing unpaired samples of a distribution or population taken at diff...
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06/28/2022
Supervised Training of Conditional Monge Maps
Optimal transport (OT) theory describes general principles to define and...
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06/23/2022
Invariant Causal Mechanisms through Distribution Matching
Learning representations that capture the underlying data generating pro...
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04/04/2022
Multi-Scale Representation Learning on Proteins
Proteins are fundamental biological entities mediating key roles in cell...
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02/11/2022
Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges
We propose a new framework to reconstruct a stochastic process {ℙ_t: t ∈...
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01/28/2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Optimal transport tools (OTT-JAX) is a Python toolbox that can solve opt...
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11/15/2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Protein complex formation is a central problem in biology, being involve...
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06/11/2021
JKOnet: Proximal Optimal Transport Modeling of Population Dynamics
Consider a heterogeneous population of points evolving with time. While ...
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06/12/2020
Learning Graph Models for Template-Free Retrosynthesis
Retrosynthesis prediction is a fundamental problem in organic synthesis,...
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05/14/2019
Learning Generative Models across Incomparable Spaces
Generative Adversarial Networks have shown remarkable success in learnin...
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03/15/2018
