Pandarinath, Chethan

4 publications

NeurIPS 2024 Few-Shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark 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

NeurIPSW 2023 Expressive Dynamics Models with Nonlinear Injective Readouts Enable Reliable Recovery of Latent Features from Neural Activity Christopher Versteeg, Andrew Sedler, Jonathan McCart, Chethan Pandarinath

NeurIPS 2021 Deep Inference of Latent Dynamics with Spatio-Temporal Super-Resolution Using Selective Backpropagation Through Time Feng Zhu, Andrew Sedler, Harrison A Grier, Nauman Ahad, Mark Davenport, Matthew Kaufman, Andrea Giovannucci, Chethan Pandarinath

NeurIPS 2019 Enabling Hyperparameter Optimization in Sequential Autoencoders for Spiking Neural Data Mohammad Reza Keshtkaran, Chethan Pandarinath