van den Oord, Aaron

22 publications

ICLR 2022 Step-Unrolled Denoising Autoencoders for Text Generation Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aaron van den Oord

ICCV 2021 Broaden Your Views for Self-Supervised Video Learning Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Pătrăucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

ICCV 2021 Divide and Contrast: Self-Supervised Learning from Uncurated Data Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord

ICCV 2021 Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aaron van den Oord, Oriol Vinyals, João Carreira

ICLR 2021 Self-Supervised Adversarial Robustness for the Low-Label, High-Data Regime Sven Gowal, Po-Sen Huang, Aaron van den Oord, Timothy Mann, Pushmeet Kohli

NeurIPSW 2021 StarCraft II Unplugged: Large Scale Offline Reinforcement Learning Michael Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Caglar Gulcehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Konrad Zolna, Richard Powell, Julian Schrittwieser, David Choi, Petko Georgiev, Daniel Kenji Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aaron van den Oord, Wojciech M. Czarnecki, Nando de Freitas, Oriol Vinyals

ICML 2021 Vector Quantized Models for Planning Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aaron Van Den Oord, Oriol Vinyals

NeurIPS 2019 Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi, Aaron van den Oord, Oriol Vinyals

ICLRW 2019 Generating Diverse High-Resolution Images with VQ-VAE Ali Razavi, Aaron van den Oord, Oriol Vinyals

ICML 2019 On Variational Bounds of Mutual Information Ben Poole, Sherjil Ozair, Aaron Van Den Oord, Alex Alemi, George Tucker

ICLR 2019 Preventing Posterior Collapse with Delta-VAEs Ali Razavi, Aaron van den Oord, Ben Poole, Oriol Vinyals

ICLR 2019 Sample Efficient Adaptive Text-to-Speech Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas

NeurIPS 2019 Shaping Belief States with Generative Environment Models for RL Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aaron van den Oord

NeurIPS 2019 Wasserstein Dependency Measure for Representation Learning Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine, Pierre Sermanet

ICLR 2018 Few-Shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Rezende, Oriol Vinyals, Nando de Freitas

NeurIPS 2018 The Challenge of Realistic Music Generation: Modelling Raw Audio at Scale Sander Dieleman, Aaron van den Oord, Karen Simonyan

NeurIPS 2017 Neural Discrete Representation Learning Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu

ICLR 2016 A Note on the Evaluation of Generative Models Lucas Theis, Aäron van den Oord, Matthias Bethge

NeurIPS 2016 Conditional Image Generation with PixelCNN Decoders Aaron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves

NeurIPS 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models Aaron van den Oord, Benjamin Schrauwen

JMLR 2014 The Student-T Mixture as a Natural Image Patch Prior with Application to Image Compression Aäron van den Oord, Benjamin Schrauwen

NeurIPS 2013 Deep Content-Based Music Recommendation Aaron van den Oord, Sander Dieleman, Benjamin Schrauwen