Mishne, Gal

21 publications

ICML 2025 Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang

NeurIPS 2025 Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

ICCV 2025 RnGCam: High-Speed Video from Rolling & Global Shutter Measurements Kevin Tandi, Xiang Dai, Chinmay Talegaonkar, Gal Mishne, Nick Antipa

ICLR 2025 Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

ICML 2024 Comparing Graph Transformers via Positional Encodings Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang

ICML 2024 Contextual Feature Selection with Conditional Stochastic Gates Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty

NeurIPS 2024 Continuous Partitioning for Graph-Based Semi-Supervised Learning Chester Holtz, Pengwen Chen, Zhengchao Wan, Chung-Kuan Cheng, Gal Mishne

AISTATS 2024 Learning Cartesian Product Graphs with Laplacian Constraints Changhao Shi, Gal Mishne

ICML 2024 SiBBlInGS: Similarity-Driven Building-Block Inference Using Graphs Across States Noga Mudrik, Gal Mishne, Adam Shabti Charles

ICMLW 2024 SiBBlInGS: Similarity-Driven Building-Block Inference Using Graphs Across States Noga Mudrik, Gal Mishne, Adam Shabti Charles

ICML 2023 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

AISTATS 2023 Implicit Graphon Neural Representation Xinyue Xia, Gal Mishne, Yusu Wang

ICMLW 2023 Product Manifold Learning with Independent Coordinate Selection Jesse He, Tristan Brugère, Gal Mishne

ICML 2023 The Numerical Stability of Hyperbolic Representation Learning Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang

NeurIPS 2022 DiSC: Differential Spectral Clustering of Features Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe

JMLR 2021 LDLE: Low Distortion Local Eigenmaps Dhruv Kohli, Alexander Cloninger, Gal Mishne

ICLRW 2021 LDLE: Low Distortion Local Eigenmaps Dhruv Kohli, Alex Cloninger, Gal Mishne

NeurIPS 2021 Learning Disentangled Behavior Embeddings Changhao Shi, Sivan Schwartz, Shahar Levy, Shay Achvat, Maisan Abboud, Amir Ghanayim, Jackie Schiller, Gal Mishne

ICLR 2021 Online Adversarial Purification Based on Self-Supervised Learning Changhao Shi, Chester Holtz, Gal Mishne

ICML 2019 Co-Manifold Learning with Missing Data Gal Mishne, Eric Chi, Ronald Coifman

NeurIPS 2019 Visualizing the PHATE of Neural Networks Scott Gigante, Adam S Charles, Smita Krishnaswamy, Gal Mishne