Making transport more robust and interpretable by moving data through a small number of anchor points. - Chi-Heng Lin; Mehdi Azabou; Eva L. Dyer (ICML, 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 B. Hengen; Michal Valko; Eva L. Dyer (NeurIPS, 2021)

Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. - Mehdi Azabou; Mohammad Gheshlaghi Azar; Ran Liu; Chi-Heng Lin; Erik C. Johnson; Kiran Bhaskaran-Nair; Max Dabagia; Keith B. Hengen; William R. Gray Roncal; Michal Valko; Eva L. Dyer (CoRR, 2021)

Large-Scale Representation Learning on Graphs via Bootstrapping. - Shantanu Thakoor; Corentin Tallec; Mohammad Gheshlaghi Azar; Mehdi Azabou; Eva L. Dyer; Rémi Munos; Petar Velickovic; Michal Valko (ICLR, 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 L. 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 M. Jackson; Mehdi Azabou; Jingyun Xiao; Christopher Liding; Matthew Jin; Carolina Urzay; William R. Gray Roncal; Erik C. Johnson; et al. (NeurIPS, 2022)

Learning Behavior Representations Through Multi-Timescale Bootstrapping. - Mehdi Azabou; Michael Mendelson; Maks Sorokin; Shantanu Thakoor; Nauman Ahad; Carolina Urzay; Eva L. Dyer (CoRR, 2022)

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 Velickovic; Eva L. Dyer (ICML, 2023)

Learning signatures of decision making from many individuals playing the same game. - Michael J. Mendelson; Mehdi Azabou; Suma Jacob; Nicola Grissom; David Darrow; Becket Ebitz; Alexander Herman; Eva L. Dyer (NER, 2023)

Detecting change points in neural population activity with contrastive metric learning. - Carolina Urzay; Nauman Ahad; Mehdi Azabou; Aidan Schneider; Geethika Atamkuri; Keith B. Hengen; Eva L. Dyer (NER, 2023)

A Unified, Scalable Framework for Neural Population Decoding. - Mehdi Azabou; Vinam Arora; Venkataramana Ganesh; Ximeng Mao; Santosh Nachimuthu; Michael Mendelson; Blake A. Richards; Matthew G. Perich; Guillaume Lajoie; 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 L. Dyer (NeurIPS, 2023)

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

GraphFM: A Scalable Framework for Multi-Graph Pretraining. - Divyansha Lachi; Mehdi Azabou; Vinam Arora; Eva L. Dyer (CoRR, 2024)

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. - Yizi Zhang; Yanchen Wang; Donato Jiménez-Benetó; Zixuan Wang; Mehdi Azabou; Blake A. Richards; Olivier Winter; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (CoRR, 2024)

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 (ICLR, 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 L. Hurwitz (CoRR, 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 (CoRR, 2025)