Yaron Lipman

Professor

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science

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Research Interests:
Geometry Processing, Computer Graphics, Discrete Differential Geometry, Optimization, Geometric deep learning, Computational anatomy/biology

Papers74 papers

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Set2Graph: Learning Graphs From Sets

Serviansky Hadar,Segol Nimrod,Shlomi Jonathan,Cranmer Kyle,Gross Eilam,Maron Haggai,Lipman Yaron

NIPS 2020, (2020)

Cited by6EIBibtex

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Lior Yariv,Yoni Kasten, Dror Moran,Meirav Galun,Matan Atzmon,Basri Ronen,Yaron Lipman

NIPS 2020, (2020)

Bibtex

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Lior Yariv,Yoni Kasten, Dror Moran,Meirav Galun, Matan Atzmon,Ronen Basri,Yaron Lipman

NeurIPS, (2020)

EIBibtex

Secondary Vertex Finding in Jets with Neural Networks

Jonathan Shlomi,Sanmay Ganguly, Eilam Gross, Kyle Cranmer,Yaron Lipman,Hadar Serviansky,Haggai Maron, Nimrod Segol

Bibtex

Isometric Autoencoders

Atzmon Matan, Gropp Amos,Lipman Yaron

Bibtex

On Universal Equivariant Set Networks

Nimrod Segol,Yaron Lipman

ICLR, (2020)

Cited by3EIBibtex

From Graph Low-Rank Global Attention to 2-FWL Approximation

Puny Omri, Ben-Hamu Heli,Lipman Yaron

Bibtex

SAL++: Sign Agnostic Learning with Derivatives

Atzmon Matan,Lipman Yaron

international conference on learning representations, (2020)

Bibtex

Universal Differentiable Renderer for Implicit Neural Representations

Yariv Lior,Atzmon Matan,Lipman Yaron

Bibtex

Implicit Geometric Regularization for Learning Shapes

Gropp Amos,Yariv Lior, Haim Niv,Atzmon Matan,Lipman Yaron

ICML, pp.3789-3799, (2020)

Cited by4EIBibtex

Controlling Neural Level Sets

Matan Atzmon, Niv Haim,Lior Yariv, Ofer Israelov,Haggai Maron,Yaron Lipman

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 2032-2041

Cited by10EIBibtex

SAL: Sign Agnostic Learning of Shapes from Raw Data

Atzmon Matan,Lipman Yaron

CVPR, pp.2562-2571, (2019)

Cited by7EIBibtex

Surface Networks via General Covers

Niv Haim,Nimrod Segol, Heli Ben-Hamu, Haggai Maron,Yaron Lipman

ICCV, pp.632-641, (2019)

Cited by4EIBibtex

On the Universality of Invariant Networks

Haggai Maron,Ethan Fetaya,Nimrod Segol,Yaron Lipman

International Conference on Machine Learning, (2019): 4363-4371

Cited by36EIBibtex

Sinkhorn Algorithm for Lifted Assignment Problems

Yam Kushinsky,Haggai Maron, Nadav Dym,Yaron Lipman

Siam Journal on Imaging Sciences, no. 2 (2019): 716-735

Cited by5EIBibtex

Provably Powerful Graph Networks

Haggai Maron, Heli Ben Hamu,Hadar Serviansky,Yaron Lipman

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 2153-2164

EIBibtex

Invariant and Equivariant Graph Networks

Haggai Maron, Heli Ben Hamu, Nadav Shamir,Yaron Lipman

ICLR, (2019)

Cited by2EIBibtex

Multi-chart Generative Surface Modeling

Heli Ben Hamu,Haggai Maron, Itay Kezurer, Gal Avineri,Yaron Lipman

ACM Trans. Graph., no. 6 (2018): 215

Cited by27EIBibtex

Point Convolutional Neural Networks by Extension Operators

Matan Atzmon,Haggai Maron,Yaron Lipman

international conference on computer graphics and interactive techniques, no. 4 (2018)

Cited by105EIBibtex

Surface Networks via General Covers

Niv Haim, Nimrod Segol, Heli Ben Hamu,Haggai Maron,Yaron Lipman

International Conference on Computer Vision, (2018): 632-641

Cited by4EIBibtex

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Yaron LipmanBinding

Papers74 papers

Yaron Lipman