Azabou, Mehdi

15 publications

ICLR 2026 Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining Sangyoon Bae, Mehdi Azabou, Blake Aaron Richards, Jiook Cha

NeurIPS 2025 Generalizable, Real-Time Neural Decoding with Hybrid State-Space Models Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao, Mehdi Azabou, Eva L Dyer, Matthew G Perich, Guillaume Lajoie

TMLR 2025 GraphFM: A Generalist Graph Transformer That Learns Transferable Representations Across Diverse Domains Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva L Dyer

NeurIPS 2025 Know Thyself by Knowing Others: Learning Neuron Identity from Population Context Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake Aaron Richards, Cole Lincoln Hurwitz, Josh Siegle, Eva L Dyer

ICLR 2025 Multi-Session, Multi-Task Neural Decoding from Distinct Cell-Types and Brain Regions Mehdi Azabou, Krystal Xuejing Pan, Vinam Arora, Ian Jarratt Knight, Eva L Dyer, Blake Aaron Richards

ICML 2025 Neural Encoding and Decoding at Scale Yizi Zhang, Yanchen Wang, Mehdi Azabou, Alexandre Andre, Zixuan Wang, Hanrui Lyu, International Brain Laboratory, Eva L Dyer, Liam Paninski, Cole Lincoln Hurwitz

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

ICML 2023 Half-Hop: A Graph Upsampling Approach for Slowing Down Message Passing Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L 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

ICLR 2022 Large-Scale Representation Learning on Graphs via Bootstrapping Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L Dyer, Remi Munos, Petar Veličković, Michal Valko

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