Erich Elsen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
4
Active years
2006–2022
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICLR | Step-unrolled Denoising Autoencoders for Text Generation. | Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aron van den Oord |
| 2022 | ICML | Improving Language Models by Retrieving from Trillions of Tokens. | Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre |
| 2022 | ICML | Unified Scaling Laws for Routed Language Models. | Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan |
| 2022 | ICML | The State of Sparse Training in Deep Reinforcement Learning. | Laura Graesser, Utku Evci, Erich Elsen, Pablo Samuel Castro |
| 2021 | ICLR | End-to-end Adversarial Text-to-Speech. | Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan |
| 2021 | ICLR | Practical Real Time Recurrent Learning with a Sparse Approximation. | Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves |
| 2020 | CVPR | Fast Sparse ConvNets. | Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan |
| 2020 | ICLR | High Fidelity Speech Synthesis with Adversarial Networks. | Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan |
| 2020 | ICML | Rigging the Lottery: Making All Tickets Winners. | Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen |
| 2020 | ICML | On the Generalization Benefit of Noise in Stochastic Gradient Descent. | Samuel L. Smith, Erich Elsen, Soham De |
| 2020 | SC | Sparse GPU kernels for deep learning. | Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen |
| 2019 | ICLR | Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. | Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck |
| 2018 | ICLR | Mixed Precision Training. | Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David Garca, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu |
| 2018 | ICML | Efficient Neural Audio Synthesis. | Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aron van den Oord, Sander Dieleman, Koray Kavukcuoglu |
| 2018 | ICML | Parallel WaveNet: Fast High-Fidelity Speech Synthesis. | Aron 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 |
| 2017 | ICLR | DSD: Dense-Sparse-Dense Training for Deep Neural Networks. | 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 |
| 2017 | ICLR | Exploring Sparsity in Recurrent Neural Networks. | Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen |
| 2016 | ICML | Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. | 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 |
| 2016 | ICML | Persistent RNNs: Stashing Recurrent Weights On-Chip. | Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh |
| 2011 | SC | Liszt: a domain specific language for building portable mesh-based PDE solvers. | 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 |
| 2006 | SC | Poster reception - N-Body simulation on GPUs. | Erich Elsen, Mike Houston, Vaidyanathan Vishal, Eric Darve, Pat Hanrahan, Vijay S. Pande |