Sander Dieleman

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Learning a piecewise linear transform coding scheme for images

Benjamin Schrauwen, Aäron van den Oord, Sander Dieleman, 2013, International Conference on Graphic and Image Processing.

Rotation-invariant convolutional neural networks for galaxy morphology prediction pdf

Sander Dieleman, Joni Dambre, Kyle W. Willett, 2015, ArXiv.

End-to-End Adversarial Text-to-Speech pdf

Erich Elsen, Jeff Donahue, Karen Simonyan, 2020, ArXiv.

This time with feeling: learning expressive musical performance

Douglas Eck, Karen Simonyan, Sander Dieleman, 2018, Neural Computing and Applications.

Transformation-based Adversarial Video Prediction on Large-Scale Data pdf

Karen Simonyan, Albin Cassirer, Sander Dieleman, 2020, ArXiv.

The spectral radius remains a valid indicator of the Echo state property for large reservoirs

Benjamin Schrauwen, Sander Dieleman, Francis Wyffels, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Transfer Learning by Supervised Pre-training for Audio-based Music Classification

Benjamin Schrauwen, Sander Dieleman, Aäron van den Oord, 2014, ISMIR.

scikit-cuda 0.5.1

Gregory R. Lee, Sander Dieleman, Teodor Mihai Moldovan, 2015 .

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Sander Dieleman, Aäron van den Oord, Mieke Van Herreweghe, 2015, International Journal of Computer Vision.

Parallel one-versus-rest SVM training on the GPU

Benjamin Schrauwen, Sander Dieleman, Aäron van den Oord, 2012, NIPS 2012.

Towards transformation-resilient provenance detection of digital media pdf

Pushmeet Kohli, Sander Dieleman, Yutian Chen, 2020, ArXiv.

End-to-end learning for music audio

Benjamin Schrauwen, Sander Dieleman, S. Dieleman, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Karen Simonyan, Mohammad Norouzi, Sander Dieleman, 2017, ICML.

Learning feature hierarchies for musical audio signals

Sander Dieleman, S. Dieleman, 2015 .

Efficient Neural Audio Synthesis pdf

Erich Elsen, Karen Simonyan, Koray Kavukcuoglu, 2018, ICML.

scikits.cuda 0.5.0b1

Xing Shi, Gregory R. Lee, Sander Dieleman, 2015 .

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Heiga Zen, Erich Elsen, Alex Graves, 2017, ICML.

Learning content-based metrics for music similarity

Benjamin Schrauwen, Sander Dieleman, 2012 .

Oger: modular learning architectures for large-scale sequential processing

Benjamin Schrauwen, Sander Dieleman, David Verstraeten, 2012, J. Mach. Learn. Res..

Hierarchical Autoregressive Image Models with Auxiliary Decoders pdf

Karen Simonyan, Sander Dieleman, Jeffrey De Fauw, 2019, ArXiv.

High Fidelity Speech Synthesis with Adversarial Networks pdf

Erich Elsen, Jeff Donahue, Karen Simonyan, 2019, ICLR.

Self-Supervised MultiModal Versatile Networks pdf

Andrew Zisserman, Sander Dieleman, Relja Arandjelovi'c, 2020, NeurIPS.

scikit-cuda: 0.5.0b3

Xing Shi, Gregory R. Lee, Sander Dieleman, 2015 .

Theano: A Python framework for fast computation of mathematical expressions pdf

John Salvatier, Razvan Pascanu, Sina Honari, 2016, ArXiv.

Learning to Create Piano Performances

Sander Dieleman, Sageev Oore, Ian Simon, 2017 .

Audio-based Music Classification with a Pretrained Convolutional Network

Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, 2011, ISMIR.

Deep content-based music recommendation

Benjamin Schrauwen, Sander Dieleman, Aäron van den Oord, 2013, NIPS.

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization

Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, 2012, ICANN.

Piano Genie

Sander Dieleman, Chris Donahue, Ian Simon, 2018, IUI.

Provenance detection through learning transformation-resilient watermarking

Pushmeet Kohli, Sander Dieleman, Krishnamurthy Dvijotham, 2019 .

DLRS 2018: third workshop on deep learning for recommender systems

Alexandros Karatzoglou, Sander Dieleman, Balázs Hidasi, 2018, RecSys '18.

The challenge of realistic music generation: modelling raw audio at scale

Karen Simonyan, Sander Dieleman, Aäron van den Oord, 2018, NeurIPS.

WaveNet: A Generative Model for Raw Audio pdf

Heiga Zen, Alex Graves, Oriol Vinyals, 2016, SSW.

Multiscale Approaches To Music Audio Feature Learning

Benjamin Schrauwen, Sander Dieleman, S. Dieleman, 2013, ISMIR.

scikits.cuda: 0.5.0b2

Gregory R. Lee, Sander Dieleman, Teodor Mihai Moldovan, 2015 .

Lasagne: First release.

Colin Raffel, Sander Dieleman, Jon, 2015 .

Accelerating sparse restricted Boltzmann machine training using non-Gaussianity measures

Benjamin Schrauwen, Sander Dieleman, 2012, NIPS 2012.

Exploiting Cyclic Symmetry in Convolutional Neural Networks pdf

Koray Kavukcuoglu, Sander Dieleman, Jeffrey De Fauw, 2016, ICML.

Sign Language Recognition Using Convolutional Neural Networks

Benjamin Schrauwen, Sander Dieleman, Lionel Pigou, 2014, ECCV Workshops.

Mastering the game of Go with deep neural networks and tree search

Demis Hassabis, Koray Kavukcuoglu, David Silver, 2016, Nature.

Spatial Chirp-Z Transformer Networks

Sander Dieleman, Jonas Degrave, Joni Dambre, 2016, ESANN.

Keynote: Deep learning for audio-based music recommendation

Sander Dieleman, S. Dieleman, 2016, DLRS@RecSys.

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset pdf

Douglas Eck, Erich Elsen, Cheng-Zhi Anna Huang, 2018, ICLR.

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems

Alexandros Karatzoglou, Sander Dieleman, Balázs Hidasi, 2017, RecSys.

Generating Images with Sparse Representations pdf

Sander Dieleman, Jacob Menick, Peter W. Battaglia, 2021, ICML.

A Deep Learning Approach for Characterizing Major Galaxy Mergers pdf

Sander Dieleman, Joel R. Primack, Marc Huertas-Company, 2021, ArXiv.

Towards Learning Universal Audio Representations pdf

Sander Dieleman, Andrew Jaegle, Pauline Luc, 2021, ArXiv.