Audio-based Music Classification with a Pretrained Convolutional Network.
Sander Dieleman, Philemon Brakel, Benjamin Schrauwen: Audio-based Music Classification with a Pretrained Convolutional Network. ISMIR 2011: 669-674
View ArticleTraining Restricted Boltzmann Machines with Multi-tempering: Harnessing...
Philemon Brakel, Sander Dieleman, Benjamin Schrauwen: Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. ICANN (2) 2012: 92-99
View ArticleOger: modular learning architectures for large-scale sequential processing.
David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski: Oger: modular learning architectures for large-scale sequential processing. J. Mach. Learn....
View ArticleDeep content-based music recommendation.
Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen: Deep content-based music recommendation. NIPS 2013: 2643-2651
View ArticleMultiscale Approaches To Music Audio Feature Learning.
Sander Dieleman, Benjamin Schrauwen: Multiscale Approaches To Music Audio Feature Learning. ISMIR 2013: 3-8
View ArticleThe spectral radius remains a valid indicator of the Echo state property for...
Ken Caluwaerts, Francis Wyffels, Sander Dieleman, Benjamin Schrauwen: The spectral radius remains a valid indicator of the Echo state property for large reservoirs. IJCNN 2013: 1-6
View ArticleTransfer Learning by Supervised Pre-training for Audio-based Music...
Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen: Transfer Learning by Supervised Pre-training for Audio-based Music Classification. ISMIR 2014: 29-34
View ArticleEnd-to-end learning for music audio.
Sander Dieleman, Benjamin Schrauwen: End-to-end learning for music audio. ICASSP 2014: 6964-6968
View ArticleSign Language Recognition Using Convolutional Neural Networks.
Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, Benjamin Schrauwen: Sign Language Recognition Using Convolutional Neural Networks. ECCV Workshops (1) 2014: 572-578
View ArticleBeyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture...
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 abs/1506.01911...
View ArticleRotation-invariant convolutional neural networks for galaxy morphology...
Sander Dieleman, Kyle W. Willett, Joni Dambre: Rotation-invariant convolutional neural networks for galaxy morphology prediction. CoRR abs/1503.07077 (2015)
View ArticleWaveNet: 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: WaveNet: A Generative Model for Raw Audio. CoRR...
View ArticleTheano: A Python framework for fast computation of mathematical expressions.
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud...
View ArticleExploiting Cyclic Symmetry in Convolutional Neural Networks.
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu: Exploiting Cyclic Symmetry in Convolutional Neural Networks. CoRR abs/1602.02660 (2016)
View ArticleWaveNet: 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: WaveNet: A Generative Model for Raw Audio. SSW 2016: 125
View ArticleKeynote: Deep learning for audio-based music recommendation.
Sander Dieleman: Keynote: Deep learning for audio-based music recommendation. DLRS@RecSys 2016: 1
View ArticleExploiting Cyclic Symmetry in Convolutional Neural Networks.
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu: Exploiting Cyclic Symmetry in Convolutional Neural Networks. ICML 2016: 1889-1898
View ArticleSpatial Chirp-Z Transformer Networks.
Jonas Degrave, Sander Dieleman, Joni Dambre, Francis Wyffels: Spatial Chirp-Z Transformer Networks. ESANN 2016
View ArticleMastering the game of Go with deep neural networks and tree search.
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,...
View ArticleParallel 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...
View Article