Aäron van den Oord

77 papers A* 19A 1Misc 3Journal 42Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Live Music Models. CoRR Antoine Caillon, Brian McWilliams, Cassie Tarakajian, Ian Simon, Ilaria Manco, Jesse H. Engel, Noah Constant, Yunpeng Li, Timo I. Denk, Alberto Lalama, Andrea Agostinelli, Cheng-Zhi Anna Huang, Ethan Manilow, George Brower, Hakan Erdogan, Heidi Lei, Itai Rolnick, Ivan Grishchenko, Manu Orsini, Matej Kastelic, Mauricio Zuluaga, Mauro Verzetti, Michael Dooley, Ondrej Skopek, Rafael Ferrer, Zalán Borsos, Aäron van den Oord, Douglas Eck, Eli Collins, Jason Baldridge, Tom Hume, Chris Donahue, Kehang Han, Adam Roberts
2023	J	`jnl`	AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR 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
2022	A*	`conf`	Step-unrolled Denoising Autoencoders for Text Generation. ICLR Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord
2022	Misc	`conf`	Towards Learning Universal Audio Representations. ICASSP 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
2021	A*	`conf`	Broaden Your Views for Self-Supervised Video Learning. ICCV 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
2021	J	`jnl`	Broaden Your Views for Self-Supervised Video Learning. CoRR 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
2021	A*	`conf`	Divide and Contrast: Self-supervised Learning from Uncurated Data. ICCV Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
2021	J	`jnl`	Divide and Contrast: Self-supervised Learning from Uncurated Data. CoRR Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
2021	A*	`conf`	Efficient Visual Pretraining with Contrastive Detection. ICCV Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Efficient Visual Pretraining with Contrastive Detection. CoRR Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Multi-Format Contrastive Learning of Audio Representations. CoRR Luyu Wang, Aäron van den Oord
2021	J	`jnl`	Multimodal Self-Supervised Learning of General Audio Representations. CoRR Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord
2021	J	`jnl`	Predicting Video with VQVAE. CoRR Jacob Walker, Ali Razavi, Aäron van den Oord
2021	A*	`conf`	Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli
2021	J	`jnl`	Step-unrolled Denoising Autoencoders for Text Generation. CoRR Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord
2021	J	`jnl`	Towards Learning Universal Audio Representations. CoRR 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
2021	A*	`conf`	Vector Quantized Models for Planning. ICML Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
2021	J	`jnl`	Vector Quantized Models for Planning. CoRR Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
2020	J	`jnl`	Are we done with ImageNet? CoRR Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord
2020	A	`conf`	Contrastive Predictive Coding of Audio with an Adversary. INTERSPEECH Luyu Wang, Kazuya Kawakami, Aäron van den Oord
2020	—	`conf`	Learning Robust and Multilingual Speech Representations. EMNLP (Findings) Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
2020	J	`jnl`	Learning Robust and Multilingual Speech Representations. CoRR Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
2019	J	`jnl`	Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
2019	—	`conf`	Deep learning for speech synthesis. SSW Aäron van den Oord
2019	A*	`conf`	Generating Diverse High-Fidelity Images with VQ-VAE-2. NeurIPS Ali Razavi, Aäron van den Oord, Oriol Vinyals
2019	J	`jnl`	Generating Diverse High-Fidelity Images with VQ-VAE-2. CoRR Ali Razavi, Aäron van den Oord, Oriol Vinyals
2019	—	`conf`	Generating Diverse High-Resolution Images with VQ-VAE. DGS@ICLR Ali Razavi, Aäron van den Oord, Oriol Vinyals
2019	J	`jnl`	Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder. CoRR Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters
2019	Misc	`conf`	Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder. ICASSP Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters
2019	A*	`conf`	On Variational Bounds of Mutual Information. ICML Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
2019	J	`jnl`	On Variational Bounds of Mutual Information. CoRR Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
2019	—	`conf`	Preventing Posterior Collapse with delta-VAEs. ICLR (Poster) Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
2019	J	`jnl`	Preventing Posterior Collapse with delta-VAEs. CoRR Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
2019	—	`conf`	Sample Efficient Adaptive Text-to-Speech. ICLR (Poster) 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
2019	A*	`conf`	Shaping Belief States with Generative Environment Models for RL. NeurIPS Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
2019	J	`jnl`	Shaping Belief States with Generative Environment Models for RL. CoRR Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, Aäron van den Oord
2019	J	`jnl`	Unsupervised Speech Representation Learning Using WaveNet Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord
2019	J	`jnl`	Unsupervised speech representation learning using WaveNet autoencoders. CoRR Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord
2019	A*	`conf`	Wasserstein Dependency Measure for Representation Learning. NeurIPS Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
2019	J	`jnl`	Wasserstein Dependency Measure for Representation Learning. CoRR Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
2018	A*	`conf`	Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. ICML Jonathan Uesato, Brendan O'Donoghue, Pushmeet Kohli, Aäron van den Oord
2018	J	`jnl`	Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. CoRR Jonathan Uesato, Brendan O'Donoghue, Aäron van den Oord, Pushmeet Kohli
2018	J	`jnl`	Associative Compression Networks for Representation Learning. CoRR Alex Graves, Jacob Menick, Aäron van den Oord
2018	J	`jnl`	Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. Int. J. Comput. Vis. Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
2018	A*	`conf`	Efficient Neural Audio Synthesis. ICML Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
2018	J	`jnl`	Efficient Neural Audio Synthesis. CoRR Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
2018	—	`conf`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas
2018	A*	`conf`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 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
2018	J	`jnl`	Representation Learning with Contrastive Predictive Coding. CoRR Aäron van den Oord, Yazhe Li, Oriol Vinyals
2018	J	`jnl`	Sample Efficient Adaptive Text-to-Speech. CoRR 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
2018	Misc	`conf`	Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. ICASSP Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara N. Sainath, Anshuman Tripathi, Aäron van den Oord, Oriol Vinyals
2018	A*	`conf`	The challenge of realistic music generation: modelling raw audio at scale. NeurIPS Sander Dieleman, Aäron van den Oord, Karen Simonyan
2018	J	`jnl`	The challenge of realistic music generation: modelling raw audio at scale. CoRR Sander Dieleman, Aäron van den Oord, Karen Simonyan
2017	A*	`conf`	Count-Based Exploration with Neural Density Models. ICML Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord, Rémi Munos
2017	J	`jnl`	Count-Based Exploration with Neural Density Models. CoRR Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord, Rémi Munos
2017	J	`jnl`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. CoRR Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas
2017	—	`conf`	Neural Discrete Representation Learning. NIPS Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
2017	J	`jnl`	Neural Discrete Representation Learning. CoRR Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
2017	A*	`conf`	Parallel Multiscale Autoregressive Density Estimation. ICML Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas
2017	J	`jnl`	Parallel Multiscale Autoregressive Density Estimation. CoRR Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas
2017	J	`jnl`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR 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
2017	A*	`conf`	Video Pixel Networks. ICML Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	A note on the evaluation of generative models. ICLR Lucas Theis, Aäron van den Oord, Matthias Bethge
2016	—	`conf`	Conditional Image Generation with PixelCNN Decoders. NIPS Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves
2016	J	`jnl`	Conditional Image Generation with PixelCNN Decoders. CoRR Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Neural Machine Translation in Linear Time. CoRR Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	Pixel Recurrent Neural Networks. ICML Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
2016	J	`jnl`	Pixel Recurrent Neural Networks. CoRR Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
2016	J	`jnl`	Video Pixel Networks. CoRR Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	WaveNet: A Generative Model for Raw Audio. SSW Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2016	J	`jnl`	WaveNet: A Generative Model for Raw Audio. CoRR Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2015	J	`jnl`	Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video. CoRR Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre
2014	—	`conf`	Factoring Variations in Natural Images with Deep Gaussian Mixture Models. NIPS Aäron van den Oord, Benjamin Schrauwen
2014	J	`jnl`	The student-t mixture as a natural image patch prior with application to image compression. J. Mach. Learn. Res. Aäron van den Oord, Benjamin Schrauwen
2014	—	`conf`	Transfer Learning by Supervised Pre-training for Audio-based Music Classification. ISMIR Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen
2013	—	`conf`	Deep content-based music recommendation. NIPS Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen
2012	J	`jnl`	To be or not to be cited in computer science. Commun. ACM Bjorn De Sutter, Aäron van den Oord