To be or not to be cited in computer science. - Bjorn De Sutter; Aäron van den Oord (Commun. ACM, 2012)

Deep content-based music recommendation. - Aäron van den Oord; Sander Dieleman; Benjamin Schrauwen (NIPS, 2013)

Transfer Learning by Supervised Pre-training for Audio-based Music Classification. - Aäron van den Oord; Sander Dieleman; Benjamin Schrauwen (ISMIR, 2014)

Factoring Variations in Natural Images with Deep Gaussian Mixture Models. - Aäron van den Oord; Benjamin Schrauwen (NIPS, 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)

Pixel Recurrent Neural Networks. - Aäron van den Oord; Nal Kalchbrenner; Koray Kavukcuoglu (ICML, 2016)

Conditional Image Generation with PixelCNN Decoders. - Aäron van den Oord; Nal Kalchbrenner; Lasse Espeholt; Koray Kavukcuoglu; Oriol Vinyals; Alex Graves (NIPS, 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 (SSW, 2016)

Neural Machine Translation in Linear Time. - Nal Kalchbrenner; Lasse Espeholt; Karen Simonyan; Aäron van den Oord; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

A note on the evaluation of generative models. - Lucas Theis; Aäron van den Oord; Matthias Bethge (ICLR, 2016)

Video Pixel Networks. - Nal Kalchbrenner; Aäron van den Oord; Karen Simonyan; Ivo Danihelka; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu (ICML, 2017)

Count-Based Exploration with Neural Density Models. - Georg Ostrovski; Marc G. Bellemare; Aäron van den Oord; Rémi Munos (ICML, 2017)

Parallel Multiscale Autoregressive Density Estimation. - Scott E. Reed; Aäron van den Oord; Nal Kalchbrenner; Sergio Gomez Colmenarejo; Ziyu Wang 001; Yutian Chen 001; Dan Belov; Nando de Freitas (ICML, 2017)

Neural Discrete Representation Learning. - Aäron van den Oord; Oriol Vinyals; Koray Kavukcuoglu (NIPS, 2017)

Parallel Multiscale Autoregressive Density Estimation. - Scott E. Reed; Aäron van den Oord; Nal Kalchbrenner; Sergio Gomez Colmenarejo; Ziyu Wang 001; Dan Belov; Nando de Freitas (CoRR, 2017)

Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. - Shuo-Yiin Chang; Bo Li 028; Gabor Simko; Tara N. Sainath; Anshuman Tripathi; Aäron van den Oord; Oriol Vinyals (ICASSP, 2018)

Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. - Scott E. Reed; Yutian Chen 001; Thomas Paine; Aäron van den Oord; S. M. Ali Eslami; Danilo J. Rezende; Oriol Vinyals; Nando de Freitas (ICLR (Poster), 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 (ICML, 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 002; Edward Lockhart; Luis C. Cobo; Florian Stimberg; Norman Casagrande; Dominik Grewe; et al. (ICML, 2018)

Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. - Jonathan Uesato; Brendan O'Donoghue; Pushmeet Kohli; Aäron van den Oord (ICML, 2018)

The challenge of realistic music generation: modelling raw audio at scale. - Sander Dieleman; Aäron van den Oord; Karen Simonyan (NeurIPS, 2018)

Associative Compression Networks for Representation Learning. - Alex Graves; Jacob Menick; Aäron van den Oord (CoRR, 2018)

Representation Learning with Contrastive Predictive Coding. - Aäron van den Oord; Yazhe Li; Oriol Vinyals (CoRR, 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)

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 (ICASSP, 2019)

Sample Efficient Adaptive Text-to-Speech. - Yutian Chen 001; 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; et al. (ICLR (Poster), 2019)

Preventing Posterior Collapse with delta-VAEs. - Ali Razavi; Aäron van den Oord; Ben Poole; Oriol Vinyals (ICLR (Poster), 2019)

Generating Diverse High-Resolution Images with VQ-VAE. - Ali Razavi; Aäron van den Oord; Oriol Vinyals (DGS@ICLR, 2019)

On Variational Bounds of Mutual Information. - Ben Poole; Sherjil Ozair; Aäron van den Oord; Alexander A. Alemi; George Tucker (ICML, 2019)

Shaping Belief States with Generative Environment Models for RL. - Karol Gregor; Danilo Jimenez Rezende; Frederic Besse; Yan Wu 010; Hamza Merzic; Aäron van den Oord (NeurIPS, 2019)

Wasserstein Dependency Measure for Representation Learning. - Sherjil Ozair; Corey Lynch; Yoshua Bengio; Aäron van den Oord; Sergey Levine; Pierre Sermanet (NeurIPS, 2019)

Generating Diverse High-Fidelity Images with VQ-VAE-2. - Ali Razavi; Aäron van den Oord; Oriol Vinyals (NeurIPS, 2019)

Deep learning for speech synthesis. - Aäron van den Oord (SSW, 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)

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)

Learning Robust and Multilingual Speech Representations. - Kazuya Kawakami; Luyu Wang; Chris Dyer; Phil Blunsom; Aäron van den Oord (EMNLP (Findings), 2020)

Contrastive Predictive Coding of Audio with an Adversary. - Luyu Wang; Kazuya Kawakami; Aäron van den Oord (INTERSPEECH, 2020)

Are we done with ImageNet? - Lucas Beyer; Olivier J. Hénaff; Alexander Kolesnikov 003; Xiaohua Zhai; Aäron van den Oord (CoRR, 2020)

Efficient Visual Pretraining with Contrastive Detection. - Olivier J. Hénaff; Skanda Koppula; Jean-Baptiste Alayrac; Aäron van den Oord; Oriol Vinyals; João Carreira 001 (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 Patraucean; Florent Altché; Michal Valko; Jean-Bastien Grill; Aäron van den Oord; et al. (ICCV, 2021)

Divide and Contrast: Self-supervised Learning from Uncurated Data. - Yonglong Tian; Olivier J. Hénaff; Aäron van den Oord (ICCV, 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 (ICLR, 2021)

Vector Quantized Models for Planning. - Sherjil Ozair; Yazhe Li; Ali Razavi; Ioannis Antonoglou; Aäron van den Oord; Oriol Vinyals (ICML, 2021)

Predicting Video with VQVAE. - Jacob Walker; Ali Razavi; Aäron van den Oord (CoRR, 2021)

Multi-Format Contrastive Learning of Audio Representations. - Luyu Wang; Aäron van den Oord (CoRR, 2021)

Multimodal Self-Supervised Learning of General Audio Representations. - Luyu Wang; Pauline Luc; Adrià Recasens; Jean-Baptiste Alayrac; Aäron van den Oord (CoRR, 2021)

Towards Learning Universal Audio Representations. - Luyu Wang; Pauline Luc; Yan Wu 010; Adrià Recasens; Lucas Smaira; Andrew Brock; Andrew Jaegle; Jean-Baptiste Alayrac; Sander Dieleman; João Carreira 001; Aäron van den Oord (ICASSP, 2022)

Step-unrolled Denoising Autoencoders for Text Generation. - Nikolay Savinov; Junyoung Chung; Mikolaj Binkowski; Erich Elsen; Aäron van den Oord (ICLR, 2022)

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; et al. (CoRR, 2023)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Live Music Models. - Antoine Caillon; Brian McWilliams; Cassie Tarakajian; Ian Simon; Ilaria Manco; Jesse H. Engel; Noah Constant; Yunpeng Li 008; Timo I. Denk; Alberto Lalama; Andrea Agostinelli; Cheng-Zhi Anna Huang; et al. (CoRR, 2025)