Yaron Lipman

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 84

Top Venues

CoRR

ACM Trans. Graph.

ICML

NeurIPS

Publications

Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
Generalized Schrödinger Bridge Matching. ICLR (2024)
Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. CoRR (2024)
Neta Shaul, Juan C. Pérez, Ricky T. Q. Chen, Ali K. Thabet, Albert Pumarola, Yaron Lipman
Bespoke Solvers for Generative Flow Models. ICLR (2024)
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
Discrete Flow Matching. CoRR (2024)
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
D-Flow: Differentiating through Flows for Controlled Generation. CoRR (2024)
Ricky T. Q. Chen, Yaron Lipman
Flow Matching on General Geometries. ICLR (2024)
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. CoRR (2023)
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. ICML (2023)
Neta Shaul, Juan C. Pérez, Ricky T. Q. Chen, Ali K. Thabet, Albert Pumarola, Yaron Lipman
Bespoke Solvers for Generative Flow Models. CoRR (2023)
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matt Le, Yaron Lipman
On Kinetic Optimal Probability Paths for Generative Models. CoRR (2023)
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le
Flow Matching for Generative Modeling. ICLR (2023)
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. ICML (2023)
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
Generalized Schrödinger Bridge Matching. CoRR (2023)
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. CoRR (2023)
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. CoRR (2023)
Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman
Equivariant Polynomials for Graph Neural Networks. CoRR (2023)
Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen
Guided Flows for Generative Modeling and Decision Making. CoRR (2023)
Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman
Equivariant Polynomials for Graph Neural Networks. ICML (2023)
Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, Yaron Lipman
Mosaic-SDF for 3D Generative Models. CoRR (2023)
Ricky T. Q. Chen, Yaron Lipman
Riemannian Flow Matching on General Geometries. CoRR (2023)
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman
On Kinetic Optimal Probability Paths for Generative Models. ICML (2023)
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman
Matching Normalizing Flows and Probability Paths on Manifolds. CoRR (2022)
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman
Matching Normalizing Flows and Probability Paths on Manifolds. ICML (2022)
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids. NeurIPS (2022)
Jack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen
Neural Conservation Laws: A Divergence-Free Perspective. CoRR (2022)
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le
Flow Matching for Generative Modeling. CoRR (2022)
Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman
Frame Averaging for Invariant and Equivariant Network Design. ICLR (2022)
Jack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen
Neural Conservation Laws: A Divergence-Free Perspective. NeurIPS (2022)
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman
Frame Averaging for Equivariant Shape Space Learning. CVPR (2022)
Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields. CoRR (2021)
Matan Atzmon, Yaron Lipman
SALD: Sign Agnostic Learning with Derivatives. ICLR (2021)
Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman
Frame Averaging for Invariant and Equivariant Network Design. CoRR (2021)
Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
Volume Rendering of Neural Implicit Surfaces. CoRR (2021)
Samuel Cohen, Brandon Amos, Yaron Lipman
Riemannian Convex Potential Maps. CoRR (2021)
Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
Moser Flow: Divergence-based Generative Modeling on Manifolds. CoRR (2021)
Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
Moser Flow: Divergence-based Generative Modeling on Manifolds. NeurIPS (2021)
Yaron Lipman
Phase Transitions, Distance Functions, and Implicit Neural Representations. ICML (2021)
Samuel Cohen, Brandon Amos, Yaron Lipman
Riemannian Convex Potential Maps. ICML (2021)
Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
Volume Rendering of Neural Implicit Surfaces. NeurIPS (2021)
Yaron Lipman
Phase Transitions, Distance Functions, and Implicit Neural Representations. CoRR (2021)
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman
Frame Averaging for Equivariant Shape Space Learning. CoRR (2021)
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt
Weisfeiler and Leman go Machine Learning: The Story so far. CoRR (2021)
Matan Atzmon, Yaron Lipman
SAL: Sign Agnostic Learning of Shapes From Raw Data. CVPR (2020)
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Set2Graph: Learning Graphs From Sets. CoRR (2020)
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
Implicit Geometric Regularization for Learning Shapes. CoRR (2020)
Matan Atzmon, Yaron Lipman
SAL++: Sign Agnostic Learning with Derivatives. CoRR (2020)
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lipman
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance. NeurIPS (2020)
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Set2Graph: Learning Graphs From Sets. NeurIPS (2020)
Matan Atzmon, Amos Gropp, Yaron Lipman
Isometric Autoencoders. CoRR (2020)
Lior Yariv, Matan Atzmon, Yaron Lipman
Universal Differentiable Renderer for Implicit Neural Representations. CoRR (2020)
Nimrod Segol, Yaron Lipman
On Universal Equivariant Set Networks. ICLR (2020)
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
Implicit Geometric Regularization for Learning Shapes. ICML (2020)
Omri Puny, Heli Ben-Hamu, Yaron Lipman
From Graph Low-Rank Global Attention to 2-FWL Approximation. CoRR (2020)
Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman
Invariant and Equivariant Graph Networks. ICLR (Poster) (2019)
Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman
Sinkhorn Algorithm for Lifted Assignment Problems. SIAM J. Imaging Sci. 12 (2) (2019)
Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
On the Universality of Invariant Networks. CoRR (2019)
Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman
Controlling Neural Level Sets. NeurIPS (2019)
Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman
Controlling Neural Level Sets. CoRR (2019)
Matan Atzmon, Yaron Lipman
SAL: Sign Agnostic Learning of Shapes from Raw Data. CoRR (2019)
Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
On the Universality of Invariant Networks. ICML (2019)
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky, Yaron Lipman
Provably Powerful Graph Networks. NeurIPS (2019)
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
Surface Networks via General Covers. ICCV (2019)
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky, Yaron Lipman
Provably Powerful Graph Networks. CoRR (2019)
Nimrod Segol, Yaron Lipman
On Universal Equivariant Set Networks. CoRR (2019)
Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman
Multi-chart Generative Surface Modeling. CoRR (2018)
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
Surface Networks via General Covers. CoRR (2018)
Matan Atzmon, Haggai Maron, Yaron Lipman
Point convolutional neural networks by extension operators. ACM Trans. Graph. 37 (4) (2018)
Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman
Invariant and Equivariant Graph Networks. CoRR (2018)
Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman
Robust optimization for topological surface reconstruction. ACM Trans. Graph. 37 (4) (2018)
Haggai Maron, Yaron Lipman
(Probably) Concave Graph Matching. NeurIPS (2018)
Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman
Multi-chart generative surface modeling. ACM Trans. Graph. 37 (6) (2018)
Matan Atzmon, Haggai Maron, Yaron Lipman
Point Convolutional Neural Networks by Extension Operators. CoRR (2018)
Ofer Bartal, Nati Ofir, Yaron Lipman, Ronen Basri
Photometric Stereo by Hemispherical Metric Embedding. J. Math. Imaging Vis. 60 (2) (2018)
Anna Shtengel, Roi Poranne, Olga Sorkine-Hornung, Shahar Z. Kovalsky, Yaron Lipman
Geometric optimization via composite majorization. ACM Trans. Graph. 36 (4) (2017)
Ofer Bartal, Nati Ofir, Yaron Lipman, Ronen Basri
Photometric Stereo by Hemispherical Metric Embedding. CoRR (2017)
Noam Aigerman, Shahar Z. Kovalsky, Yaron Lipman
Spherical orbifold tutte embeddings. ACM Trans. Graph. 36 (4) (2017)
Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman
Convolutional neural networks on surfaces via seamless toric covers. ACM Trans. Graph. 36 (4) (2017)
Nadav Dym, Haggai Maron, Yaron Lipman
DS++: a flexible, scalable and provably tight relaxation for matching problems. ACM Trans. Graph. 36 (6) (2017)
Nadav Dym, Yaron Lipman
Exact Recovery with Symmetries for Procrustes Matching. SIAM J. Optim. 27 (3) (2017)
Nadav Dym, Haggai Maron, Yaron Lipman
DS++: A flexible, scalable and provably tight relaxation for matching problems. CoRR (2017)
Nadav Dym, Yaron Lipman, Raz Slutsky
A Linear Variational Principle for Riemann Mapping and Discrete Conformality. CoRR (2017)
Shahar Z. Kovalsky, Meirav Galun, Yaron Lipman
Accelerated quadratic proxy for geometric optimization. ACM Trans. Graph. 35 (4) (2016)
Noam Aigerman, Yaron Lipman
Hyperbolic orbifold tutte embeddings. ACM Trans. Graph. 35 (6) (2016)
Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman
Point registration via efficient convex relaxation. ACM Trans. Graph. 35 (4) (2016)
Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman
Wide baseline stereo matching with convex bounded-distortion constraints. CoRR (2015)
Itay Kezurer, Shahar Z. Kovalsky, Ronen Basri, Yaron Lipman
Tight Relaxation of Quadratic Matching. Comput. Graph. Forum 34 (5) (2015)
Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman
Large-scale bounded distortion mappings. ACM Trans. Graph. 34 (6) (2015)
Nadav Dym, Anna Shtengel, Yaron Lipman
Homotopic Morphing of Planar Curves. Comput. Graph. Forum 34 (5) (2015)
Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman
Wide Baseline Stereo Matching with Convex Bounded Distortion Constraints. ICCV (2015)
Noam Aigerman, Yaron Lipman
Orbifold Tutte embeddings. ACM Trans. Graph. 34 (6) (2015)
Noam Aigerman, Roi Poranne, Yaron Lipman
Seamless surface mappings. ACM Trans. Graph. 34 (4) (2015)
Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman
Controlling singular values with semidefinite programming. ACM Trans. Graph. 33 (4) (2014)
Noam Aigerman, Roi Poranne, Yaron Lipman
Lifted bijections for low distortion surface mappings. ACM Trans. Graph. 33 (4) (2014)
Yaron Lipman, Stav Yagev, Roi Poranne, David W. Jacobs, Ronen Basri
Feature Matching with Bounded Distortion. ACM Trans. Graph. 33 (3) (2014)
Roi Poranne, Yaron Lipman
Provably good planar mappings. ACM Trans. Graph. 33 (4) (2014)
Yaron Lipman
Bijective Mappings of Meshes with Boundary and the Degree in Mesh Processing. SIAM J. Imaging Sci. 7 (2) (2014)
Yaron Lipman, J. Puente, Ingrid Daubechies
Conformal Wasserstein distance: II. computational aspects and extensions. Math. Comput. 82 (281) (2013)
Yaron Lipman
Construction of Injective Mappings Of Meshes. CoRR (2013)
Noam Aigerman, Yaron Lipman
Injective and bounded distortion mappings in 3D. ACM Trans. Graph. 32 (4) (2013)
Yaron Lipman
Approximation of Polyhedral Surface Uniformization CoRR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaron Lipman