Gal Mishne - RankMe

89 papers A* 14A 3Misc 4Journal 62Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis. CoRR Zhanqi Zhang, Shun Li, Bernardo L. Sabatini, Mikio Aoi, Gal Mishne
2026	J	`jnl`	Fast and accessible morphology-free functional fluorescence imaging analysis. PLoS Comput. Biol. Alejandro Estrada Berlanga, Gabrielle Y. Kang, Amanda Kwok, Thomas Broggini, Jennifer Lawlor, Kishore V. Kuchibhotla, David Kleinfeld, Gal Mishne, Adam S. Charles
2026	J	`jnl`	MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning. CoRR Jesse He, Helen Jenne, Max Vargas, Davis Brown, Gal Mishne, Yusu Wang, Henry Kvinge
2026	J	`jnl`	Multi-Integration of Labels across Categories for Component Identification (MILCCI). CoRR Noga Mudrik, Yuxi Chen, Gal Mishne, Adam S. Charles
2026	J	`jnl`	Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training. Trans. Mach. Learn. Res. Jiancheng Xie, Lou C. Kohler Voinov, Noga Mudrik, Gal Mishne, Adam Shabti Charles
2026	J	`jnl`	Non-degenerate Rigid Alignment in a Patch Framework. SIAM J. Optim. Dhruv Kohli, Gal Mishne, Alexander Cloninger
2026	A*	`conf`	Unsupervised Feature Selection Through Group Discovery. AAAI Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty
2025	J	`jnl`	Cluster and then Embed: A Modular Approach for Visualization. CoRR Elizabeth Coda, Ery Arias-Castro, Gal Mishne
2025	J	`jnl`	Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2025	J	`jnl`	Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics. CoRR Ram Dyuthi Sristi, Sowmya Manojna Narasimha, Jingya Huang, Alice Despatin, Simon Musall, Vikash Gilja, Gal Mishne
2025	A*	`conf`	Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers. ICML Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang
2025	—	`conf`	Explaining GNN Explanations with Edge Gradients. KDD (2) Jesse He, Akbar Rafiey, Gal Mishne, Yusu Wang
2025	J	`jnl`	Explaining GNN Explanations with Edge Gradients. CoRR Jesse He, Akbar Rafiey, Gal Mishne, Yusu Wang
2025	J	`jnl`	Graph Laplacian Learning With Exponential Family Noise. IEEE Trans. Signal Inf. Process. over Networks Changhao Shi, Gal Mishne
2025	J	`jnl`	Learning Kronecker-Structured Graphs from Smooth Signals. CoRR Changhao Shi, Gal Mishne
2025	J	`jnl`	Low-dimensional embeddings of high-dimensional data. CoRR Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak
2025	J	`jnl`	On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs. SIAM J. Sci. Comput. Sawyer Jack Robertson, Dhruv Kohli, Gal Mishne, Alexander Cloninger
2025	J	`jnl`	Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees. CoRR Yiming Zhang, Chester Holtz, Gal Mishne, Alex Cloninger
2025	J	`jnl`	Robust Graph-Based Semi-Supervised Learning via CoRR Sawyer Jack Robertson, Chester Holtz, Zhengchao Wan, Gal Mishne, Alexander Cloninger
2025	J	`jnl`	Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization. CoRR Dhruv Kohli, Sawyer Jack Robertson, Gal Mishne, Alexander Cloninger
2025	A*	`conf`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. ICLR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2025	J	`jnl`	Unsupervised Feature Selection Through Group Discovery. CoRR Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty
2025	A	`conf`	Word-Level Error Analysis in Decoding Systems: From Speech Recognition to Brain-Computer Interfaces. INTERSPEECH Jingya Huang, Aashish N. Patel, Sowmya Manojna Narasimha, Gal Mishne, Vikash Gilja
2024	A*	`conf`	Comparing Graph Transformers via Positional Encodings. ICML Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang
2024	J	`jnl`	Comparing Graph Transformers via Positional Encodings. CoRR Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang
2024	A*	`conf`	Contextual Feature Selection with Conditional Stochastic Gates. ICML Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty
2024	A*	`conf`	Continuous Partitioning for Graph-Based Semi-Supervised Learning. NeurIPS Chester Holtz, Pengwen Chen, Zhengchao Wan, Chung-Kuan Cheng, Gal Mishne
2024	J	`jnl`	Deep and shallow data science for multi-scale optical neuroscience. CoRR Gal Mishne, Adam S. Charles
2024	J	`jnl`	Elucidating Flow Matching ODE Dynamics with respect to Data Geometries. CoRR Gal Mishne, Zhengchao Wan, Qingsong Wang, Yusu Wang
2024	—	`conf`	Guiding Brain-to-Vocalization Decoder Design Using Structured Generalization Error. EMBC Jingya Huang, Pablo Tostado-Marcos, Sowmya Manojna Narasimha, Aashish N. Patel, Ezequiel M. Arneodo, Timothy Q. Gentner, Gal Mishne, Vikash Gilja
2024	A	`conf`	Learning Cartesian Product Graphs with Laplacian Constraints. AISTATS Changhao Shi, Gal Mishne
2024	J	`jnl`	Learning Cartesian Product Graphs with Laplacian Constraints. CoRR Changhao Shi, Gal Mishne
2024	J	`jnl`	Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications (Dagstuhl Seminar 24122). Dagstuhl Reports Dmitry Kobak, Fred A. Hamprecht, Smita Krishnaswamy, Gal Mishne, Sebastian Damrich
2024	J	`jnl`	Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training. CoRR Jiancheng Xie, Lou C. Kohler Voinov, Noga Mudrik, Gal Mishne, Adam S. Charles
2024	J	`jnl`	Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. SIAM J. Matrix Anal. Appl. Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang
2024	A*	`conf`	SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States. ICML Noga Mudrik, Gal Mishne, Adam S. Charles
2024	J	`jnl`	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Contextual Feature Selection with Conditional Stochastic Gates. CoRR Ram Dyuthi Sristi, Ofir Lindenbaum, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty
2023	J	`jnl`	Graph Laplacian Learning with Exponential Family Noise. CoRR Changhao Shi, Gal Mishne
2023	A*	`conf`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. ICML Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	J	`jnl`	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning. CoRR Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
2023	A	`conf`	Implicit Graphon Neural Representation. AISTATS Xinyue Xia, Gal Mishne, Yusu Wang
2023	J	`jnl`	Non-degenerate Rigid Alignment in a Patch Framework. CoRR Dhruv Kohli, Gal Mishne, Alexander Cloninger
2023	J	`jnl`	On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs. CoRR Sawyer Jack Robertson, Dhruv Kohli, Gal Mishne, Alexander Cloninger
2023	—	`conf`	Product Manifold Learning with Independent Coordinate Selection. TAG-ML Jesse He, Tristan Brugère, Gal Mishne
2023	J	`jnl`	Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. CoRR Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang
2023	J	`jnl`	Semi-Supervised Laplacian Learning on Stiefel Manifolds. CoRR Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne
2023	J	`jnl`	SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States. CoRR Noga Mudrik, Gal Mishne, Adam S. Charles
2023	A*	`conf`	The Numerical Stability of Hyperbolic Representation Learning. ICML Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang
2022	J	`jnl`	Applications and Comparison of Dimensionality Reduction Methods for Microbiome Data. Frontiers Bioinform. George Armstrong, Gibraan Rahman, Cameron Martino, Daniel McDonald, Antonio González, Gal Mishne, Rob Knight
2022	A*	`conf`	DiSC: Differential Spectral Clustering of Features. NeurIPS Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe
2022	J	`jnl`	DiSC: Differential Spectral Clustering of Features. CoRR Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe
2022	—	`conf`	Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. TAG-ML Chester Holtz, Gal Mishne, Alexander Cloninger
2022	J	`jnl`	Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. CoRR Chester Holtz, Gal Mishne, Alexander Cloninger
2022	J	`jnl`	GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging. IEEE Trans. Image Process. Adam S. Charles, Nathan Cermak, Rifqi O. Affan, Benjamin B. Scott, Jackie Schiller, Gal Mishne
2022	J	`jnl`	Implicit Graphon Neural Representation. CoRR Xinyue Xia, Gal Mishne, Yusu Wang
2022	J	`jnl`	Learning Sample Reweighting for Accuracy and Adversarial Robustness. CoRR Chester Holtz, Tsui-Wei Weng, Gal Mishne
2022	J	`jnl`	Multi-scale affinities with missing data: Estimation and applications. Stat. Anal. Data Min. Min Zhang, Gal Mishne, Eric C. Chi
2022	J	`jnl`	The Numerical Stability of Hyperbolic Representation Learning. CoRR Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang
2021	J	`jnl`	COBRAC: a fast implementation of convex biclustering with compression. Bioinform. Haidong Yi, Le Huang, Gal Mishne, Eric C. Chi
2021	J	`jnl`	LDLE: Low Distortion Local Eigenmaps. CoRR Dhruv Kohli, Alexander Cloninger, Gal Mishne
2021	J	`jnl`	LDLE: Low Distortion Local Eigenmaps. J. Mach. Learn. Res. Dhruv Kohli, Alexander Cloninger, Gal Mishne
2021	A*	`conf`	Learning Disentangled Behavior Embeddings. NeurIPS Changhao Shi, Sivan Schwartz, Shahar Levy, Shay Achvat, Maisan Abboud, Amir Ghanayim, Jackie Schiller, Gal Mishne
2021	J	`jnl`	Online Adversarial Purification based on Self-Supervision. CoRR Changhao Shi, Chester Holtz, Gal Mishne
2021	A*	`conf`	Online Adversarial Purification based on Self-supervised Learning. ICLR Changhao Shi, Chester Holtz, Gal Mishne
2021	J	`jnl`	Smooth graph learning for functional connectivity estimation. NeuroImage Siyuan Gao, Xinyue Xia, Dustin Scheinost, Gal Mishne
2020	J	`jnl`	Kernel-based parameter estimation of dynamical systems with unknown observation functions. CoRR Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon
2020	J	`jnl`	Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries. CoRR Jay S. Stanley III, Eric C. Chi, Gal Mishne
2020	J	`jnl`	Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries. IEEE Signal Process. Mag. Jay S. Stanley III, Eric C. Chi, Gal Mishne
2020	—	`conf`	Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain. MICCAI (7) Siyuan Gao, Gal Mishne, Dustin Scheinost
2020	J	`jnl`	Randomized near-neighbor graphs, giant components and applications in data science. J. Appl. Probab. Ariel Jaffe, Yuval Kluger, George C. Linderman, Gal Mishne, Stefan Steinerberger
2020	J	`jnl`	Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian. SIAM J. Imaging Sci. Xiuyuan Cheng, Gal Mishne
2019	—	`conf`	A Hierarchical Manifold Learning Framework for High-Dimensional Neuroimaging Data. IPMI Siyuan Gao, Gal Mishne, Dustin Scheinost
2019	A*	`conf`	Co-manifold learning with missing data. ICML Gal Mishne, Eric C. Chi, Ronald R. Coifman
2019	Misc	`conf`	Learning Spatially-correlated Temporal Dictionaries for Calcium Imaging. ICASSP Gal Mishne, Adam S. Charles
2019	A*	`conf`	Visualizing the PHATE of Neural Networks. NeurIPS Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne
2019	J	`jnl`	Visualizing the PHATE of Neural Networks. CoRR Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne
2018	J	`jnl`	Co-manifold learning with missing data. CoRR Gal Mishne, Eric C. Chi, Ronald R. Coifman
2018	J	`jnl`	Data-Driven Tree Transforms and Metrics. IEEE Trans. Signal Inf. Process. over Networks Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
2018	J	`jnl`	Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian. CoRR Xiuyuan Cheng, Gal Mishne
2017	J	`jnl`	Data-Driven Tree Transforms and Metrics. CoRR Gal Mishne, Ronen Talmon, Israel Cohen, Ronald R. Coifman, Yuval Kluger
2017	Misc	`conf`	Iterative diffusion-based anomaly detection. ICASSP Gal Mishne, Israel Cohen
2017	J	`jnl`	Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science. CoRR George C. Linderman, Gal Mishne, Yuval Kluger, Stefan Steinerberger
2016	J	`jnl`	Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery. IEEE J. Sel. Top. Signal Process. Gal Mishne, Ronen Talmon, Ron Meir, Jackie Schiller, Maria Lavzin, Uri Dubin, Ronald R. Coifman
2016	Misc	`conf`	Improving resolution in supervised patch-based target detection. ICASSP Ron Amit, Gal Mishne, Ronen Talmon
2015	J	`jnl`	Diffusion Nets. CoRR Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen
2015	J	`jnl`	Graph-Based Supervised Automatic Target Detection. IEEE Trans. Geosci. Remote. Sens. Gal Mishne, Ronen Talmon, Israel Cohen
2014	Misc	`conf`	Multiscale anomaly detection using diffusion maps and saliency score. ICASSP Gal Mishne, Israel Cohen
2013	J	`jnl`	Multiscale Anomaly Detection Using Diffusion Maps. IEEE J. Sel. Top. Signal Process. Gal Mishne, Israel Cohen