Sander Dieleman

According to our database1, Sander Dieleman authored at least 32 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video.
International Journal of Computer Vision, 2018

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.
CoRR, 2018

Piano Genie.
CoRR, 2018

This Time with Feeling: Learning Expressive Musical Performance.
CoRR, 2018

The challenge of realistic music generation: modelling raw audio at scale.
CoRR, 2018

Efficient Neural Audio Synthesis.
CoRR, 2018

DLRS 2018: third workshop on deep learning for recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018


Efficient Neural Audio Synthesis.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis.
CoRR, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
CoRR, 2017

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Mastering the game of Go with deep neural networks and tree search.
Nature, 2016

WaveNet: A Generative Model for Raw Audio.
CoRR, 2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

WaveNet: A Generative Model for Raw Audio.
Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

Keynote: Deep learning for audio-based music recommendation.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Spatial Chirp-Z Transformer Networks.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video.
CoRR, 2015

Rotation-invariant convolutional neural networks for galaxy morphology prediction.
CoRR, 2015

2014
Transfer Learning by Supervised Pre-training for Audio-based Music Classification.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

End-to-end learning for music audio.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sign Language Recognition Using Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Deep content-based music recommendation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multiscale Approaches To Music Audio Feature Learning.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

The spectral radius remains a valid indicator of the Echo state property for large reservoirs.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Oger: modular learning architectures for large-scale sequential processing.
Journal of Machine Learning Research, 2012

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Audio-based Music Classification with a Pretrained Convolutional Network.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011


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