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Yaron Lipman
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Multisample Flow Matching: Straightening Flows with Minibatch Couplings


Apr 28, 2023
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky Chen

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VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids


Mar 25, 2023
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali Thabet, Yaron Lipman

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* Published in NeurIPS 2022 
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Equivariant Polynomials for Graph Neural Networks


Feb 22, 2023
Omri Puny, Derek Lim, Bobak T. Kiani, Haggai Maron, Yaron Lipman

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MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation


Feb 16, 2023
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel

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Riemannian Flow Matching on General Geometries


Feb 07, 2023
Ricky T. Q. Chen, Yaron Lipman

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Flow Matching for Generative Modeling


Oct 06, 2022
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le

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Neural Conservation Laws: A Divergence-Free Perspective


Oct 04, 2022
Jack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen

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* Accepted for publication at NeurIPS 2022 
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Matching Normalizing Flows and Probability Paths on Manifolds


Jul 11, 2022
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman

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* ICML 2022 
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Weisfeiler and Leman go Machine Learning: The Story so far


Dec 18, 2021
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten Borgwardt

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Frame Averaging for Equivariant Shape Space Learning


Dec 03, 2021
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman

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