Aäron van den Oord

According to our database, Aäron van den Oord authored at least 48 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.

Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals

CoRR, 2023

2022

Step-unrolled Denoising Autoencoders for Text Generation.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Learning Universal Audio Representations.

Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multimodal Self-Supervised Learning of General Audio Representations.

Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord

CoRR, 2021

Multi-Format Contrastive Learning of Audio Representations.

Luyu Wang, Aäron van den Oord

CoRR, 2021

Predicting Video with VQVAE.

Jacob Walker, Ali Razavi, Aäron van den Oord

CoRR, 2021

Vector Quantized Models for Planning.

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Self-supervised Adversarial Robustness for the Low-label, High-data Regime.

Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli

Proceedings of the 9th International Conference on Learning Representations, 2021

Divide and Contrast: Self-supervised Learning from Uncurated Data.

Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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 Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Efficient Visual Pretraining with Contrastive Detection.

Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Are we done with ImageNet?

Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord

CoRR, 2020

Contrastive Predictive Coding of Audio with an Adversary.

Luyu Wang, Kazuya Kawakami, Aäron van den Oord

Proceedings of the Interspeech 2020, 2020

Learning Robust and Multilingual Speech Representations.

Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Unsupervised Speech Representation Learning Using WaveNet Autoencoders.

Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Data-Efficient Image Recognition with Contrastive Predictive Coding.

Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord

CoRR, 2019

Generating Diverse High-Fidelity Images with VQ-VAE-2.

Ali Razavi, Aäron van den Oord, Oriol Vinyals

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Wasserstein Dependency Measure for Representation Learning.

Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Shaping Belief States with Generative Environment Models for RL.

Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Variational Bounds of Mutual Information.

Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker

Proceedings of the 36th International Conference on Machine Learning, 2019

Generating Diverse High-Resolution Images with VQ-VAE.

Ali Razavi, Aäron van den Oord, Oriol Vinyals

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Preventing Posterior Collapse with delta-VAEs.

Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals

Proceedings of the 7th International Conference on Learning Representations, 2019

Sample Efficient Adaptive Text-to-Speech.

Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas

Proceedings of the 7th International Conference on Learning Representations, 2019

Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder.

Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video.

Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre

Int. J. Comput. Vis., 2018

Representation Learning with Contrastive Predictive Coding.

Aäron van den Oord, Yazhe Li, Oriol Vinyals

CoRR, 2018

Associative Compression Networks for Representation Learning.

Alex Graves, Jacob Menick, Aäron van den Oord

CoRR, 2018

The challenge of realistic music generation: modelling raw audio at scale.

Sander Dieleman, Aäron van den Oord, Karen Simonyan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks.

Jonathan Uesato, Brendan O'Donoghue, Pushmeet Kohli, Aäron van den Oord

Proceedings of the 35th International Conference on Machine Learning, 2018

Parallel WaveNet: Fast High-Fidelity Speech Synthesis.

Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis

Proceedings of the 35th International Conference on Machine Learning, 2018

Efficient Neural Audio Synthesis.

Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu

Proceedings of the 35th International Conference on Machine Learning, 2018

Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions.

Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas

Proceedings of the 6th International Conference on Learning Representations, 2018

Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection.

Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara N. Sainath, Anshuman Tripathi, Aäron van den Oord, Oriol Vinyals

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Parallel Multiscale Autoregressive Density Estimation.

Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas

CoRR, 2017

Neural Discrete Representation Learning.

Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Parallel Multiscale Autoregressive Density Estimation.

Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas

Proceedings of the 34th International Conference on Machine Learning, 2017

Count-Based Exploration with Neural Density Models.

Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord, Rémi Munos

Proceedings of the 34th International Conference on Machine Learning, 2017

Video Pixel Networks.

Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

A note on the evaluation of generative models.

Lucas Theis, Aäron van den Oord, Matthias Bethge

Proceedings of the 4th International Conference on Learning Representations, 2016

Neural Machine Translation in Linear Time.

Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu

CoRR, 2016

WaveNet: A Generative Model for Raw Audio.

Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu

Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

Conditional Image Generation with PixelCNN Decoders.

Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Pixel Recurrent Neural Networks.

Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

The student-t mixture as a natural image patch prior with application to image compression.

Aäron van den Oord, Benjamin Schrauwen

J. Mach. Learn. Res., 2014

Factoring Variations in Natural Images with Deep Gaussian Mixture Models.

Aäron van den Oord, Benjamin Schrauwen

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Transfer Learning by Supervised Pre-training for Audio-based Music Classification.

Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

2013

Deep content-based music recommendation.

Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

To be or not to be cited in computer science.

Bjorn De Sutter, Aäron van den Oord

Commun. ACM, 2012