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Didrik Nielsen

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Diffusion Models for Video Prediction and Infilling

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Jun 15, 2022
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

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Few-Shot Diffusion Models

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May 30, 2022
Giorgio Giannone, Didrik Nielsen, Ole Winther

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Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC

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Mar 01, 2021
Priyank Jaini, Didrik Nielsen, Max Welling

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Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models

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Feb 10, 2021
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling

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

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Jul 06, 2020
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling

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Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow

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Feb 06, 2020
Didrik Nielsen, Ole Winther

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

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Nov 11, 2018
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen, Mark Schmidt, Mohammad Emtiyaz Khan

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

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Aug 02, 2018
Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava

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Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models

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Aug 02, 2018
Mohammad Emtiyaz Khan, Didrik Nielsen

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Variational Adaptive-Newton Method for Explorative Learning

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Nov 15, 2017
Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen

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