Lange, Richard D

3 publications

ICMLW 2023 Deep Networks as Paths on the Manifold of Neural Representations Richard D Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad Kording

TMLR 2022 Clustering Units in Neural Networks: Upstream vs Downstream Information Richard D Lange, David Rolnick, Konrad Kording

UAI 2022 Interpolating Between Sampling and Variational Inference with Infinite Stochastic Mixtures Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow