Seuraa
Douglas Eck
Douglas Eck
Google Research, Brain Team
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
43762023
A neural representation of sketch drawings
D Ha, D Eck
ICLR 2018, 2018
10262018
Music transformer
CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, I Simon, C Hawthorne, ...
arXiv preprint arXiv:1809.04281, 2018
8992018
Neural audio synthesis of musical notes with wavenet autoencoders
J Engel, C Resnick, A Roberts, S Dieleman, D Eck, K Simonyan, ...
ICML 2017, 2017
7372017
Applying LSTM to time series predictable through time-window approaches
FA Gers, D Eck, J Schmidhuber
International conference on artificial neural networks, 669-676, 2001
6772001
A hierarchical latent vector model for learning long-term structure in music
A Roberts, J Engel, C Raffel, C Hawthorne, D Eck
International conference on machine learning, 4364-4373, 2018
5902018
Enabling factorized piano music modeling and generation with the MAESTRO dataset
C Hawthorne, A Stasyuk, A Roberts, I Simon, CZA Huang, S Dieleman, ...
arXiv preprint arXiv:1810.12247, 2018
5132018
Deduplicating training data makes language models better
K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini
arXiv preprint arXiv:2107.06499, 2021
4532021
A first look at music composition using lstm recurrent neural networks
D Eck, J Schmidhuber
Istituto Dalle Molle Di Studi Sull Intelligenza Artificiale 103 (4), 48, 2002
4392002
Learning features from music audio with deep belief networks.
P Hamel, D Eck
ISMIR 10, 339-344, 2010
4202010
Aggregate features and AdaBoost for music classification
J Bergstra, N Casagrande, D Erhan, D Eck, B Kégl
Machine learning 65 (2-3), 473-484, 2006
4082006
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
3762024
Finding temporal structure in music: Blues improvisation with LSTM recurrent networks
D Eck, J Schmidhuber
Proceedings of the 12th IEEE workshop on neural networks for signal …, 2002
3472002
Onsets and frames: Dual-objective piano transcription
C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, ...
arXiv preprint arXiv:1710.11153, 2017
3452017
Online and linear-time attention by enforcing monotonic alignments
C Raffel, T Luong, PJ Liu, RJ Weiss, D Eck
ICML 2017, 2017
3132017
Automatic generation of social tags for music recommendation
D Eck, P Lamere, T Bertin-Mahieux, S Green
NIPS: Advances in Neural Information Processing Systems, 385-392, 2008
3092008
Automatic detection of generated text is easiest when humans are fooled
D Ippolito, D Duckworth, C Callison-Burch, D Eck
arXiv preprint arXiv:1911.00650, 2019
3022019
This time with feeling: learning expressive musical performance
S Oore, I Simon, S Dieleman, D Eck, K Simonyan
Neural Computing and Applications 32, 955-967, 2020
2592020
Counterpoint by convolution
CZA Huang, T Cooijmans, A Roberts, A Courville, D Eck
ISMIR 2017, 2016
1932016
Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control
N Jaques, S Gu, D Bahdanau, JM Hernández-Lobato, RE Turner, D Eck
ICLR 2017, 2016
1852016
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Artikkelit 1–20