| 2026 | AAAI | Unsupervised Feature Selection Through Group Discovery. | Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty |
| 2025 | ICCV | RnGCam: High-Speed Video from Rolling & Global Shutter Measurements. | Kevin Tandi, Xiang Dai, Chinmay Talegaonkar, Gal Mishne, Nick Antipa |
| 2025 | ICLR | Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. | Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon |
| 2025 | ICML | Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers. | Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang |
| 2025 | Interspeech | Word-Level Error Analysis in Decoding Systems: From Speech Recognition to Brain-Computer Interfaces. | Jingya Huang, Aashish N. Patel, Sowmya Manojna Narasimha, Gal Mishne, Vikash Gilja |
| 2025 | KDD | Explaining GNN Explanations with Edge Gradients. | Jesse He, Akbar Rafiey, Gal Mishne, Yusu Wang |
| 2024 | AISTATS | Learning Cartesian Product Graphs with Laplacian Constraints. | Changhao Shi, Gal Mishne |
| 2024 | ICML | Comparing Graph Transformers via Positional Encodings. | Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang |
| 2024 | ICML | SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States. | Noga Mudrik, Gal Mishne, Adam S. Charles |
| 2024 | ICML | Contextual Feature Selection with Conditional Stochastic Gates. | Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty |
| 2023 | AISTATS | Implicit Graphon Neural Representation. | Xinyue Xia, Gal Mishne, Yusu Wang |
| 2023 | ICML | Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. | Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon |
| 2023 | ICML | The Numerical Stability of Hyperbolic Representation Learning. | Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang |
| 2021 | ICLR | Online Adversarial Purification based on Self-supervised Learning. | Changhao Shi, Chester Holtz, Gal Mishne |
| 2020 | MICCAI | Poincar Embedding Reveals Edge-Based Functional Networks of the Brain. | Siyuan Gao, Gal Mishne, Dustin Scheinost |
| 2019 | ICASSP | Learning Spatially-correlated Temporal Dictionaries for Calcium Imaging. | Gal Mishne, Adam S. Charles |
| 2019 | ICML | Co-manifold learning with missing data. | Gal Mishne, Eric C. Chi, Ronald R. Coifman |
| 2017 | ICASSP | Iterative diffusion-based anomaly detection. | Gal Mishne, Israel Cohen |
| 2016 | ICASSP | Improving resolution in supervised patch-based target detection. | Ron Amit, Gal Mishne, Ronen Talmon |
| 2014 | ICASSP | Multiscale anomaly detection using diffusion maps and saliency score. | Gal Mishne, Israel Cohen |