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ORCIDErich Elsen
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2020 – today
- 2020
[c17]Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan:
Fast Sparse ConvNets. CVPR 2020: 14617-14626- [c16]Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. ICLR 2020 - [c15]Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen:
Rigging the Lottery: Making All Tickets Winners. ICML 2020: 2943-2952 - [c14]Samuel L. Smith, Erich Elsen, Soham De:
On the Generalization Benefit of Noise in Stochastic Gradient Descent. ICML 2020: 9058-9067 - [c13]Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen:
Top-KAST: Top-K Always Sparse Training. NeurIPS 2020 - [c12]Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen:
Sparse GPU kernels for deep learning. SC 2020: 17 - [i21]Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan:
End-to-End Adversarial Text-to-Speech. CoRR abs/2006.03575 (2020) - [i20]Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves:
A Practical Sparse Approximation for Real Time Recurrent Learning. CoRR abs/2006.07232 (2020) - [i19]Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen:
AlgebraNets. CoRR abs/2006.07360 (2020) - [i18]Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen:
Sparse GPU Kernels for Deep Learning. CoRR abs/2006.10901 (2020) - [i17]Samuel L. Smith, Erich Elsen, Soham De:
On the Generalization Benefit of Noise in Stochastic Gradient Descent. CoRR abs/2006.15081 (2020)
2010 – 2019
- 2019
- [c11]Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. ICLR 2019 - [i16]Trevor Gale, Erich Elsen, Sara Hooker:
The State of Sparsity in Deep Neural Networks. CoRR abs/1902.09574 (2019) - [i15]Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan:
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR abs/1906.03139 (2019) - [i14]Utku Evci, Fabian Pedregosa, Aidan N. Gomez, Erich Elsen:
The Difficulty of Training Sparse Neural Networks. CoRR abs/1906.10732 (2019) - [i13]Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. CoRR abs/1909.11646 (2019) - [i12]Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan:
Fast Sparse ConvNets. CoRR abs/1911.09723 (2019) - [i11]Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen:
Rigging the Lottery: Making All Tickets Winners. CoRR abs/1911.11134 (2019) - 2018
- [c10]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [c9]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. ICML 2018: 2415-2424 - [c8]Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 2018: 3915-3923 - [c7]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. ISMIR 2018: 50-57 - [i10]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. CoRR abs/1802.08435 (2018) - [i9]Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck:
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. CoRR abs/1810.12247 (2018) - 2017
- [c6]Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally:
DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) 2017 - [c5]Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen:
Exploring Sparsity in Recurrent Neural Networks. ICLR (Poster) 2017 - [i8]Sharan Narang, Gregory F. Diamos, Shubho Sengupta, Erich Elsen:
Exploring Sparsity in Recurrent Neural Networks. CoRR abs/1704.05119 (2017) - [i7]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - [i6]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. CoRR abs/1710.11153 (2017) - [i5]Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR abs/1711.10433 (2017) - 2016
- [c4]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [c3]Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh:
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML 2016: 2024-2033 - [i4]Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally:
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. CoRR abs/1607.04381 (2016) - 2015
- [i3]Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015) - 2014
- [i2]Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng:
Deep Speech: Scaling up end-to-end speech recognition. CoRR abs/1412.5567 (2014) - 2011
- [c2]Zach DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan J. Alonso, Pat Hanrahan:
Liszt: a domain specific language for building portable mesh-based PDE solvers. SC 2011: 9:1-9:12
2000 – 2009
- 2008
- [j1]Erich Elsen, Patrick LeGresley, Eric Darve:
Large calculation of the flow over a hypersonic vehicle using a GPU. J. Comput. Phys. 227(24): 10148-10161 (2008) - 2007
- [i1]Erich Elsen, Vaidyanathan Vishal, Mike Houston, Vijay S. Pande, Pat Hanrahan, Eric Darve:
N-Body Simulations on GPUs. CoRR abs/0706.3060 (2007) - 2006
- [c1]Erich Elsen, Mike Houston, Vaidyanathan Vishal, Eric Darve, Pat Hanrahan, Vijay S. Pande:
Poster reception - N-Body simulation on GPUs. SC 2006: 188
Coauthor Index
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