Didrik Nielsen

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt et al. · arXiv (Cornell University) · 2018 · 60 citations · Full text

Artificial Intelligence, Model Optimization, Convolutional Neural Network +12

Diffusion Models for Video Prediction and Infilling

Tobias Höppe, Arash Mehrjou, Didrik Nielsen et al. · arXiv (Cornell University) · 2022 · 50 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini et al. · arXiv (Cornell University) · 2021 · 36 citations · Full text

Engineering, Machine Learning, Generative Flows +16

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient

Aaron Mishkin, Frederik Künstner, Didrik Nielsen et al. · arXiv (Cornell University) · 2018 · 27 citations · Full text

Structured Prediction, Engineering, Machine Learning +16

SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows

Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom et al. · arXiv (Cornell University) · 2020 · 26 citations · Full text

Engineering, Machine Learning, Geometry +17