Sander Dieleman

61 papers A* 11A 3B 2Misc 2Journal 32Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data. CoRR Alice Baird, Rachel Manzelli, Panagiotis Tzirakis, Chris Gagne, Haoqi Li, Sadie Allen, Sander Dieleman, Brian Kulis, Shrikanth S. Narayanan, Alan Cowen
2023	A*	`conf`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl
2023	J	`jnl`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
2022	J	`jnl`	Categorical SDEs with Simplex Diffusion. CoRR Pierre H. Richemond, Sander Dieleman, Arnaud Doucet
2022	J	`jnl`	Continuous diffusion for categorical data. CoRR Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
2022	A*	`conf`	General-purpose, long-context autoregressive modeling with Perceiver AR. ICML Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	Self-conditioned Embedding Diffusion for Text Generation. CoRR Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
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	J	`jnl`	A Deep Learning Approach for Characterizing Major Galaxy Mergers. CoRR Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back
2021	A*	`conf`	End-to-end Adversarial Text-to-Speech. ICLR Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
2021	J	`jnl`	Generating Images with Sparse Representations. CoRR Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
2021	A*	`conf`	Generating images with sparse representations. ICML Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
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	J	`jnl`	Variable-rate discrete representation learning. CoRR Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan
2020	J	`jnl`	End-to-End Adversarial Text-to-Speech. CoRR Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
2020	A*	`conf`	High Fidelity Speech Synthesis with Adversarial Networks. ICLR Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan
2020	A*	`conf`	Self-Supervised MultiModal Versatile Networks. NeurIPS Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
2020	J	`jnl`	Self-Supervised MultiModal Versatile Networks. CoRR Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
2020	J	`jnl`	This time with feeling: learning expressive musical performance. Neural Comput. Appl. Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
2020	J	`jnl`	Towards transformation-resilient provenance detection of digital media. CoRR Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande
2020	J	`jnl`	Transformation-based Adversarial Video Prediction on Large-Scale Data. CoRR Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan
2019	—	`conf`	Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. ICLR Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
2019	J	`jnl`	Hierarchical Autoregressive Image Models with Auxiliary Decoders. CoRR Jeffrey De Fauw, Sander Dieleman, Karen Simonyan
2019	J	`jnl`	High Fidelity Speech Synthesis with Adversarial Networks. CoRR Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan
2019	A	`conf`	Piano Genie. IUI Chris Donahue, Ian Simon, Sander Dieleman
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`	DLRS 2018: third workshop on deep learning for recommender systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
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	J	`jnl`	Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. CoRR Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck
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`	Piano Genie. CoRR Chris Donahue, Ian Simon, Sander Dieleman
2018	—	`ed.`	Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018 DLRS Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
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
2018	J	`jnl`	This Time with Feeling: Learning Expressive Musical Performance. CoRR Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
2017	A	`conf`	DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2017	A*	`conf`	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan
2017	J	`jnl`	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
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	—	`ed.`	Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017 DLRS@RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2016	A*	`conf`	Exploiting Cyclic Symmetry in Convolutional Neural Networks. ICML Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
2016	J	`jnl`	Exploiting Cyclic Symmetry in Convolutional Neural Networks. CoRR Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
2016	—	`conf`	Keynote: Deep learning for audio-based music recommendation. DLRS@RecSys Sander Dieleman
2016	J	`jnl`	Mastering the game of Go with deep neural networks and tree search. Nat. David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Vedavyas Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy P. Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis
2016	B	`conf`	Spatial Chirp-Z Transformer Networks. ESANN Jonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
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
2015	J	`jnl`	Rotation-invariant convolutional neural networks for galaxy morphology prediction. CoRR Sander Dieleman, Kyle W. Willett, Joni Dambre
2014	Misc	`conf`	End-to-end learning for music audio. ICASSP Sander Dieleman, Benjamin Schrauwen
2014	—	`conf`	Sign Language Recognition Using Convolutional Neural Networks. ECCV Workshops (1) Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, 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
2013	—	`conf`	Multiscale Approaches To Music Audio Feature Learning. ISMIR Sander Dieleman, Benjamin Schrauwen
2013	B	`conf`	The spectral radius remains a valid indicator of the Echo state property for large reservoirs. IJCNN Ken Caluwaerts, Francis Wyffels, Sander Dieleman, Benjamin Schrauwen
2012	J	`jnl`	Oger: modular learning architectures for large-scale sequential processing. J. Mach. Learn. Res. David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski
2012	—	`conf`	Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. ICANN (2) Philemon Brakel, Sander Dieleman, Benjamin Schrauwen
2011	—	`conf`	Audio-based Music Classification with a Pretrained Convolutional Network. ISMIR Sander Dieleman, Philemon Brakel, Benjamin Schrauwen