Aäron van den Oord

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 70

Top Topics

Predictive Coding

Image Generation

Supervised Learning

Top Venues

Publications

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
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR (2023)
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
Towards Learning Universal Audio Representations. ICASSP (2022)
Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord
Step-unrolled Denoising Autoencoders for Text Generation. ICLR (2022)
Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
Divide and Contrast: Self-supervised Learning from Uncurated Data. CoRR (2021)
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
Efficient Visual Pretraining with Contrastive Detection. CoRR (2021)
Luyu Wang, Aäron van den Oord
Multi-Format Contrastive Learning of Audio Representations. CoRR (2021)
Jacob Walker, Ali Razavi, Aäron van den Oord
Predicting Video with VQVAE. CoRR (2021)
Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy Mann, Pushmeet Kohli
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR (2021)
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
Towards Learning Universal Audio Representations. CoRR (2021)
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraaucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
Broaden Your Views for Self-Supervised Video Learning. ICCV (2021)
Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord
Multimodal Self-Supervised Learning of General Audio Representations. CoRR (2021)
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
Efficient Visual Pretraining with Contrastive Detection. ICCV (2021)
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
Vector Quantized Models for Planning. CoRR (2021)
Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord
Step-unrolled Denoising Autoencoders for Text Generation. CoRR (2021)
Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
Divide and Contrast: Self-supervised Learning from Uncurated Data. ICCV (2021)
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
Broaden Your Views for Self-Supervised Video Learning. CoRR (2021)
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
Vector Quantized Models for Planning. ICML (2021)
Luyu Wang, Kazuya Kawakami, Aäron van den Oord
Contrastive Predictive Coding of Audio with an Adversary. INTERSPEECH (2020)
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
Learning Robust and Multilingual Speech Representations. EMNLP (Findings) (2020)
Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord
Are we done with ImageNet? CoRR (2020)
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
Learning Robust and Multilingual Speech Representations. CoRR (2020)
Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord
Unsupervised speech representation learning using WaveNet autoencoders. CoRR (2019)
Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
Preventing Posterior Collapse with delta-VAEs. ICLR (Poster) (2019)
Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters
Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder. ICASSP (2019)
Ali Razavi, Aäron van den Oord, Oriol Vinyals
Generating Diverse High-Fidelity Images with VQ-VAE-2. NeurIPS (2019)
Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
Preventing Posterior Collapse with delta-VAEs. CoRR (2019)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. CoRR (2019)
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
Wasserstein Dependency Measure for Representation Learning. NeurIPS (2019)
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
On Variational Bounds of Mutual Information. CoRR (2019)
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
Shaping Belief States with Generative Environment Models for RL. NeurIPS (2019)
Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters
Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder. CoRR (2019)
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR (2019)
Ali Razavi, Aäron van den Oord, Oriol Vinyals
Generating Diverse High-Fidelity Images with VQ-VAE-2. CoRR (2019)
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
Wasserstein Dependency Measure for Representation Learning. CoRR (2019)
Aäron van den Oord
Deep learning for speech synthesis. SSW (2019)
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
Sample Efficient Adaptive Text-to-Speech. ICLR (Poster) (2019)
Ali Razavi, Aäron van den Oord, Oriol Vinyals
Generating Diverse High-Resolution Images with VQ-VAE. DGS@ICLR (2019)
Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord
Unsupervised Speech Representation Learning Using WaveNet Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alex Alemi, George Tucker
On Variational Bounds of Mutual Information. ICML (2019)
Aäron van den Oord, Yazhe Li, Oriol Vinyals
Representation Learning with Contrastive Predictive Coding. CoRR (2018)
Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) (2018)
Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara N. Sainath, Anshuman Tripathi, Aäron van den Oord, Oriol Vinyals
Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. ICASSP (2018)
Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. Int. J. Comput. Vis. 126 (2-4) (2018)
Sander Dieleman, Aäron van den Oord, Karen Simonyan
The challenge of realistic music generation: modelling raw audio at scale. NeurIPS (2018)
Jonathan Uesato, Brendan O'Donoghue, Aäron van den Oord, Pushmeet Kohli
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. CoRR (2018)
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
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML (2018)
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
Sample Efficient Adaptive Text-to-Speech. CoRR (2018)
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
Efficient Neural Audio Synthesis. ICML (2018)
Alex Graves, Jacob Menick, Aäron van den Oord
Associative Compression Networks for Representation Learning. CoRR (2018)
Sander Dieleman, Aäron van den Oord, Karen Simonyan
The challenge of realistic music generation: modelling raw audio at scale. CoRR (2018)
Jonathan Uesato, Brendan O'Donoghue, Pushmeet Kohli, Aäron van den Oord
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. ICML (2018)
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
Efficient Neural Audio Synthesis. CoRR (2018)
Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord, Rémi Munos
Count-Based Exploration with Neural Density Models. CoRR (2017)
Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
Video Pixel Networks. ICML (2017)
Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
Neural Discrete Representation Learning. NIPS (2017)
Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas
Parallel Multiscale Autoregressive Density Estimation. ICML (2017)
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
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR (2017)
Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord, Rémi Munos
Count-Based Exploration with Neural Density Models. ICML (2017)
Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas
Parallel Multiscale Autoregressive Density Estimation. CoRR (2017)
Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. CoRR (2017)
Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
Neural Discrete Representation Learning. CoRR (2017)
Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
Pixel Recurrent Neural Networks. CoRR (2016)
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
WaveNet: A Generative Model for Raw Audio. SSW (2016)
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
WaveNet: A Generative Model for Raw Audio. CoRR (2016)
Lucas Theis, Aäron van den Oord, Matthias Bethge
A note on the evaluation of generative models. ICLR (2016)
Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
Video Pixel Networks. CoRR (2016)
Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
Conditional Image Generation with PixelCNN Decoders. CoRR (2016)
Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
Pixel Recurrent Neural Networks. ICML (2016)
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu
Neural Machine Translation in Linear Time. CoRR (2016)
Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves
Conditional Image Generation with PixelCNN Decoders. NIPS (2016)
Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. CoRR (2015)
Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen
Transfer Learning by Supervised Pre-training for Audio-based Music Classification. ISMIR (2014)
Aäron van den Oord, Benjamin Schrauwen
Factoring Variations in Natural Images with Deep Gaussian Mixture Models. NIPS (2014)
Aäron van den Oord, Benjamin Schrauwen
The student-t mixture as a natural image patch prior with application to image compression. J. Mach. Learn. Res. 15 (1) (2014)
Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen
Deep content-based music recommendation. NIPS (2013)
Bjorn De Sutter, Aäron van den Oord
To be or not to be cited in computer science. Commun. ACM 55 (8) (2012)