Unsupervised learning & generative models

Publication

Score-based generative models learn manifold-like structures with constrained mixing

Kevin Li, Ben Moran

NeurIPS Workshop

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Publication

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Deep Equilibrium Networks

Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

NeurIPS

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Publication

Continuous diffusion for categorical data

Sander Dieleman, Laurent Sartran, Arman Roshannai *, Nikolay Savinov, Yaroslav Ganin, Pierre Harvey Richemond, Arnaud Doucet, Robin Strudel *, Chris Dyer, Conor Durkan, Curtis Hawthorne *, Rémi Leblond, Will Grathwohl, Jonas Adler

arXiv

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Publication

Categorical SDEs with Simplex Diffusion

Pierre Harvey Richemond, Sander Dieleman, Arnaud Doucet

arXiv

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Publication

Palm up: Playing in the Latent Manifold for Unsupervised Pretraining

Hao Liu *, Tom Zahavy, Vlad Mnih, Satinder Baveja

NeurIPS

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Publication

Normalizing flows for atomic solids

Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racaniere, Andy Ballard, Alexander Pritzel, Charles Blundell

Machine Learning: Science and Technology

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Publication

Learning more skills through optimistic exploration

DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen

ICLR

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Publication

Gaussian dropout as an information bottleneck layer

Mélanie Rey, Andriy Mnih

NeurIPS Workshop

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Publication

Which priors matter? Benchmarking models for learning latent dynamics

Alex Botev, Drew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins

NeurIPS

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Publication

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision

Irina Higgins, Drew Jaegle, Peter Wirnsberger, Alex Botev

NeurIPS

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Publication

Step-unrolled Denoising Autoencoders for Text Generation

Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord

ICLR

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Publication

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Suman Ravuri, Karel Lenc, Matthew Willson, D Kangin *, Remi Lam, Piotr Mirowski, Megan Fitzsimmons *, Maria Atthanassiadou *, Sheleem Kashem, Sam Madge *, Rachel Prudden *, Amol Mandhane, Aidan Clark, Andy Brock, Karen Simonyan, Raia Hadsell, Niall Robinson *, Ellen Clancy, Alberto Arribas *, Shakir Mohamed

Nature

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Publication

Vector Quantized Models for Planning

Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals

ICML

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Publication

Variable-rate discrete representation learning

Sander Dieleman, Charlie Nash, Jesse Engel *, Karen Simonyan

arXiv

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Publication

EigenGame Unloaded: When playing games is better than optimizing

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel *

ICLR

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Publication

A Study on TTS Augmentation for Cross-Domain Speaker Recognition

Yiling Huang *, Yutian Chen, Jason Pelecanos *, Quan Wang *

IEEE Spoken Language Technology Workshop

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Publication

Discovering a set of policies for the worst case reward

Tom Zahavy, Andre Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Baveja

ICLR

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Publication

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG

Garrett Honke *, Irina Higgins, Nina Thigpen *, Vladimir Miskovic *, Katie Link *, Sunny Duan *, Pramod Gupta *, Julia Klawohn *, Greg Hajcak *

ICLR

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Publication

Adaptive reward-free exploration

Emilie Kaufmann *, Pierre Menard *, O Domingues *, Anders Jonsson *, Edouard Leurent *, Michal Valko

Algorithmic Learning Theory Conference

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Publication

Bootstrap Your Own Latent: A new approach to self-supervised learning

Jean-bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Remi Munos, Michal Valko

NeurIPS

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Publication

Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains

F Ruiz *, Michalis Titsias, Taylan Cemgil, Arnaud Doucet

arXiv

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Publication

Mastering Atari with Discrete World Models

Danijar Hafner *, Timothy Lillicrap, Mohammad Norouzi *, Jimmy Ba *

arXiv

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