Search

News
People
Open Positions
Clinical Trials
Publications
Resources and Code
Contact

Joel Ye

Undergraduate and Masters in Computer Science (next: PhD, Program in Neural Computation, Carnegie Mellon)

Georgia Tech

Interests

Publications

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

Advances in Neural Information Processing Systems 37 (2024)

Brianna M. Karpowicz, Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio, Clay Washington, Thiago Scodeler, Diogo De Lucena, Samuel R. Nason-Tomaszewski, Matthew J. Mender, Xuan Ma, Ezequiel Matias Arneodo, Leigh R. Hochberg, Cynthia A. Chestek, Jaimie M. Henderson, Timothy Q. Gentner, Vikash Gilja, Lee E. Miller, Adam G. Rouse, Robert A. Gaunt, Jennifer L. Collinger, Chethan Pandarinath

Representation learning for neural population activity with Neural Data Transformers

Neurons, Behavior, Data analysis, and Theory (2021)

Joel Ye, Chethan Pandarinath

Neural Latents Benchmark'21: Evaluating latent variable models of neural population activity

Advances in Neural Information Processing Systems (2021)

Felix Pei, Joel Ye, David Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna v. Shenoy, Matthew T. Kaufman, Mark Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath

© 2026 Chethan Pandarinath. Licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.

Cite