Cole L. Hurwitz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Variational Inference

Top Venues

Publications

Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto, Zixuan Wang, Mehdi Azabou, Blake A. Richards, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole L. Hurwitz
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. CoRR (2024)
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, Liam Paninski
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes. NeurIPS (2023)
Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole L. Hurwitz
Towards robust and generalizable representations of extracellular data using contrastive learning. NeurIPS (2023)
Cole L. Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig
Building population models for large-scale neural recordings: opportunities and pitfalls. CoRR (2021)
Cole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Targeted Neural Dynamical Modeling. NeurIPS (2021)
Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. CoRR (2020)
Seungwook Han, Akash Srivastava, Cole L. Hurwitz, Prasanna Sattigeri, David D. Cox
not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget. CoRR (2020)
Cole L. Hurwitz, Kai Xu, Akash Srivastava, Alessio Paolo Buccino, Matthias H. Hennig
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference. NeurIPS (2019)
Cole L. Hurwitz, Kai Xu, Akash Srivastava, Alessio Paolo Buccino, Matthias H. Hennig
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference. CoRR (2019)