Dyer, Eva

8 publications

NeurIPS 2024 Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution Yizi Zhang, Yanchen Wang, Donato M. Jiménez-Benetó, Zixuan Wang, Mehdi Azabou, Blake Richards, Renee Tung, Olivier Winter, The International Brain Laboratory, Eva Dyer, Liam Paninski, Cole Hurwitz

NeurIPS 2023 A Unified, Scalable Framework for Neural Population Decoding Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake Richards, Matthew Perich, Guillaume Lajoie, Eva Dyer

NeurIPS 2023 Relax, It Doesn’t Matter How You Get There: A New Self-Supervised Approach for Multi-Timescale Behavior Analysis Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva Dyer

NeurIPS 2022 MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William Gray-Roncal, Erik Johnson, Eva Dyer

NeurIPS 2022 Seeing the Forest and the Tree: Building Representations of Both Individual and Collective Dynamics with Transformers Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva Dyer

NeurIPS 2021 Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith Hengen, Michal Valko, Eva Dyer

ICML 2021 Making Transport More Robust and Interpretable by Moving Data Through a Small Number of Anchor Points Chi-Heng Lin, Mehdi Azabou, Eva Dyer

NeurIPS 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment John Lee, Max Dabagia, Eva Dyer, Christopher Rozell