Erich Elsen
Erich Elsen
Persimmon AI Labs
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Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International conference on machine learning, 173-182, 2016
Deep speech: Scaling up end-to-end speech recognition
A Hannun, C Case, J Casper, B Catanzaro, G Diamos, E Elsen, ...
arXiv preprint arXiv:1412.5567, 2014
Mixed precision training
P Micikevicius, S Narang, J Alben, G Diamos, E Elsen, D Garcia, ...
arXiv preprint arXiv:1710.03740, 2017
Training compute-optimal large language models
J Hoffmann, S Borgeaud, A Mensch, E Buchatskaya, T Cai, E Rutherford, ...
arXiv preprint arXiv:2203.15556, 2022
Parallel wavenet: Fast high-fidelity speech synthesis
A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ...
International conference on machine learning, 3918-3926, 2018
Efficient neural audio synthesis
N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ...
International Conference on Machine Learning, 2410-2419, 2018
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
International conference on machine learning, 2206-2240, 2022
The state of sparsity in deep neural networks
T Gale, E Elsen, S Hooker
arXiv preprint arXiv:1902.09574, 2019
Rigging the lottery: Making all tickets winners
U Evci, T Gale, J Menick, PS Castro, E Elsen
International conference on machine learning, 2943-2952, 2020
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
Exploring sparsity in recurrent neural networks
S Narang, E Elsen, G Diamos, S Sengupta
arXiv preprint arXiv:1704.05119, 2017
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
Liszt: a domain specific language for building portable mesh-based PDE solvers
Z DeVito, N Joubert, F Palacios, S Oakley, M Medina, M Barrientos, ...
Proceedings of 2011 international conference for high performance computing …, 2011
Large calculation of the flow over a hypersonic vehicle using a GPU
E Elsen, P LeGresley, E Darve
Journal of Computational Physics 227 (24), 10148-10161, 2008
High fidelity speech synthesis with adversarial networks
M Bińkowski, J Donahue, S Dieleman, A Clark, E Elsen, N Casagrande, ...
arXiv preprint arXiv:1909.11646, 2019
Dsd: Dense-sparse-dense training for deep neural networks
S Han, J Pool, S Narang, H Mao, E Gong, S Tang, E Elsen, P Vajda, ...
arXiv preprint arXiv:1607.04381, 2016
Sparse gpu kernels for deep learning
T Gale, M Zaharia, C Young, E Elsen
SC20: International Conference for High Performance Computing, Networking …, 2020
End-to-end adversarial text-to-speech
J Donahue, S Dieleman, M Bińkowski, E Elsen, K Simonyan
arXiv preprint arXiv:2006.03575, 2020
Fast sparse convnets
E Elsen, M Dukhan, T Gale, K Simonyan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
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