Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference. - Cole L. Hurwitz; Kai Xu 016; Akash Srivastava; Alessio Paolo Buccino; Matthias H. Hennig (NeurIPS, 2019)

not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget. - Seungwook Han; Akash Srivastava; Cole L. Hurwitz; Prasanna Sattigeri; David D. Cox (CoRR, 2020)

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. - Akash Srivastava; Yamini Bansal; Yukun Ding; Cole L. Hurwitz; Kai Xu 016; Bernhard Egger 001; Prasanna Sattigeri; Josh Tenenbaum 001; David D. Cox; Dan Gutfreund (CoRR, 2020)

Targeted Neural Dynamical Modeling. - Cole L. Hurwitz; Akash Srivastava; Kai Xu 016; Justin Jude; Matthew G. Perich; Lee E. Miller; Matthias H. Hennig (NeurIPS, 2021)

Building population models for large-scale neural recordings: opportunities and pitfalls. - Cole L. Hurwitz; Nina Kudryashova; Arno Onken; Matthias H. Hennig (CoRR, 2021)

Towards robust and generalizable representations of extracellular data using contrastive learning. - Ankit Vishnubhotla; Charlotte Loh; Akash Srivastava; Liam Paninski; Cole L. Hurwitz (NeurIPS, 2023)

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. - Yizi Zhang; Tianxiao He; Julien Boussard; Charles Windolf; Olivier Winter; Eric Trautmann; Noam Roth; Hailey Barrell; Mark Churchland; Nicholas A. Steinmetz; Erdem Varol; Cole L. Hurwitz; et al. (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)

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)

In vivo cell-type and brain region classification via multimodal contrastive learning. - Han Yu; Hanrui Lyu; YiXun Xu; Charlie Windolf; Eric Kenji Lee; Fan Yang; Andrew M. Shelton; Olivier Winter; International Brain Laboratory; Eva L. Dyer; Chandramouli Chandrasekaran; Nicholas A. Steinmetz; et al. (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)

Self-supervised pretraining of vision transformers for animal behavioral analysis and neural encoding. - Yanchen Wang; Han Yu; Ari Blau; Yizi Zhang; International Brain Laboratory; Liam Paninski; Cole L. Hurwitz; Matthew R. Whiteway (CoRR, 2025)