Matan Atzmon

According to our database, Matan Atzmon authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Variance Reduction for Expectations with Diffusion Teachers.

Jesse Bettencourt, Xindi Wu, Matan Atzmon, James Lucas, Jonathan Lorraine

CoRR, May, 2026

2025

ReMatching Dynamic Reconstruction Flow.

Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes.

Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Approximately Piecewise E(3) Equivariant Point Networks.

Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Neural Kernel Surface Reconstruction.

Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Frame Averaging for Invariant and Equivariant Network Design.

Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman

Proceedings of the Tenth International Conference on Learning Representations, 2022

Frame Averaging for Equivariant Shape Space Learning.

Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields.

Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman

CoRR, 2021

SALD: Sign Agnostic Learning with Derivatives.

Matan Atzmon, Yaron Lipman

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Isometric Autoencoders.

Matan Atzmon, Amos Gropp, Yaron Lipman

CoRR, 2020

SAL++: Sign Agnostic Learning with Derivatives.

Matan Atzmon, Yaron Lipman

CoRR, 2020

Universal Differentiable Renderer for Implicit Neural Representations.

Lior Yariv, Matan Atzmon, Yaron Lipman

CoRR, 2020

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Implicit Geometric Regularization for Learning Shapes.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

SAL: Sign Agnostic Learning of Shapes From Raw Data.

Matan Atzmon, Yaron Lipman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Controlling Neural Level Sets.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Point convolutional neural networks by extension operators.

Matan Atzmon, Haggai Maron, Yaron Lipman

ACM Trans. Graph., 2018