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Publications of Sander Dieleman

Journal papers

  1. Sander Dieleman, Kyle Willett and Joni Dambre Rotation-invariant convolutional neural networks for galaxy morphology prediction MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol. 450(2), pp. 1441-1459 (2015)
  2. David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philémon Brakel, Pieter Buteneers and Dejan Pecevski Oger : modular learning architectures for large-scale sequential processing JOURNAL OF MACHINE LEARNING RESEARCH, Vol. 13, pp. 2995-2998 (2012)

Conference publications

  1. Jonas Degrave, Sander Dieleman, Joni Dambre and Francis wyffels Spatial Chirp-Z Transformer Networks , pp. 6 (2016)
  2. Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans and Benjamin Schrauwen Sign language recognition using convolutional neural networks European Conference on Computer Vision, Workshop, Proceedings, pp. 8 (2014)
  3. Sander Dieleman and Benjamin Schrauwen End-to-end learning for music audio International Conference on Acoustics Speech and Signal Processing ICASSP, pp. 6964-6968 (2014)
  4. Aäron van den Oord, Sander Dieleman and Benjamin Schrauwen Transfer learning by supervised pre-training for audio-based music classification Conference of the International Society for Music Information Retrieval, Proceedings, pp. 6 (2014)
  5. Ken Caluwaerts, Francis wyffels, Sander Dieleman and Benjamin Schrauwen The spectral radius remains a valid indicator of the echo state property for large reservoirs IEEE International Joint Conference on Neural Networks (IJCNN), pp. 6 (2013)
  6. Aäron van den Oord, Sander Dieleman and Benjamin Schrauwen Learning a piecewise linear transform coding scheme for images Proceedings of SPIE, the International Society for Optical Engineering, Vol. 8768, pp. 5 (2013)
  7. Aäron van den Oord, Sander Dieleman and Benjamin Schrauwen Deep content-based music recommendation Advances in Neural Information Processing Systems 26 (2013), Vol. 26, pp. 9 (2013)
  8. Sander Dieleman and Benjamin Schrauwen Multiscale approaches to music audio feature learning Proceedings of the 14th international society for music information retrieval conference, pp. 116-121 (2013)
  9. Philémon Brakel, Sander Dieleman and Benjamin Schrauwen Training restricted Boltzmann machines with multi-tempering : harnessing parallelization LECTURE NOTES IN COMPUTER SCIENCE, Vol. 7553(2), pp. 8 (2012)
  10. Sander Dieleman and Benjamin Schrauwen Learning content-based metrics for music similarity 5th International Workshop on Machine Learning and Music, Abstracts, pp. 13-14 (2012)
  11. Sander Dieleman, Aäron van den Oord and Benjamin Schrauwen Parallel one-versus-rest SVM training on the GPU Big Learning : Algorithms, Systems, and Tools, Proceedings, pp. 5 (2012)
  12. Sander Dieleman and Benjamin Schrauwen Accelerating sparse restricted Boltzmann machine training using non-Gaussianity measures Deep Learning and Unsupervised Feature Learning, Proceedings, pp. 9 (2012)
  13. Sander Dieleman, Philémon Brakel and Benjamin Schrauwen Audio-based music classification with a pretrained convolutional network Proceedings of the 12th international society for music information retrieval conference : Proc. ISMIR 2011, pp. 669-674 (2011)

Other publications

  1. Sander Dieleman Learning feature hierarchies for musical audio signals pp. 157 (2015)
  2. Sander Dieleman Snelle nootherkenning op signalen afkomstig van elektrische gitaren met Reservoir Computing Afstudeerwerk FEA, UGent, pp. (2010)