Chris Versteeg's work wins best paper award at NeurReps!

Versteeg wins best paper for his work “Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity”.

Congrats to Chris, Jonathan McCart, & Andrew Sedler! Their paper “Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity” (arxiv link) won the best paper award the category of neuroscience and interpretability at the Symmetry and Geometry in Neural Representations (NeurReps) workshop at NeurIPS 2023.