Didrik Nielsen

19 papers A* 5A 1C 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI/ML for 5G and Beyond Cybersecurity.
CoRR
Sandeep Pirbhulal, Habtamu Abie, Martin Jullum, Didrik Nielsen, Anders Løland
2022 J jnl
Diffusion Models for Video Prediction and Infilling.
CoRR
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
2022 J jnl
Diffusion Models for Video Prediction and Infilling.
Trans. Mach. Learn. Res.
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
2022 J jnl
Few-Shot Diffusion Models.
CoRR
Giorgio Giannone, Didrik Nielsen, Ole Winther
2021 A* conf
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions.
NeurIPS
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
2021 J jnl
Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models.
CoRR
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
2021 A conf
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC.
AISTATS
Priyank Jaini, Didrik Nielsen, Max Welling
2021 J jnl
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC.
CoRR
Priyank Jaini, Didrik Nielsen, Max Welling
2020 A* conf
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow.
NeurIPS
Didrik Nielsen, Ole Winther
2020 J jnl
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow.
CoRR
Didrik Nielsen, Ole Winther
2020 A* conf
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows.
NeurIPS
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling
2020 J jnl
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows.
CoRR
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling
2018 A* conf
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam.
ICML
Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava
2018 J jnl
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam.
CoRR
Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava
2018 C conf
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models.
ISITA
Mohammad Emtiyaz Khan, Didrik Nielsen
2018 J jnl
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models.
CoRR
Mohammad Emtiyaz Khan, Didrik Nielsen
2018 A* conf
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient.
NeurIPS
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen, Mark Schmidt, Mohammad Emtiyaz Khan
2018 J jnl
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient.
CoRR
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen, Mark Schmidt, Mohammad Emtiyaz Khan
2017 J jnl
Variational Adaptive-Newton Method for Explorative Learning.
CoRR
Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen