not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution

no code implementations • 9 Sep 2020 • Seungwook Han, Akash Srivastava, Cole Hurwitz, Prasanna Sattigeri, David D. Cox

First, we generate images in low-frequency bands by training a sampler in the wavelet domain.

Conditional Image Generation Image Super-Resolution

Building population models for large-scale neural recordings: opportunities and pitfalls

no code implementations • 3 Feb 2021 • Cole Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig

Modern recording technologies now enable simultaneous recording from large numbers of neurons.

Targeted Neural Dynamical Modeling

2 code implementations • NeurIPS 2021 • Cole Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig

These approaches, however, are limited in their ability to capture the underlying neural dynamics (e. g. linear) and in their ability to relate the learned dynamics back to the observed behaviour (e. g. no time lag).