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Erich Elsen

Active 2006–2026

36
Papers
19,823
Citations
30
h-index
33
i10-index

Citations

Citations per year for Erich Elsen1958: 1 citations1981: 1 citations1990: 1 citations1996: 1 citations1997: 1 citations2007: 2 citations2008: 6 citations2009: 11 citations2010: 15 citations2011: 22 citations2012: 33 citations2013: 29 citations2014: 39 citations2015: 74 citations2016: 177 citations2017: 303 citations2018: 555 citations2019: 772 citations2020: 1,035 citations2021: 1,101 citations2022: 1,087 citations2023: 1,647 citations2024: 1,735 citations2025: 1,708 citations2026: 810 citations2027: 1 citations1959–1980: no citations, so these years are not shown1982–1989: no citations, so these years are not shown1991–1995: no citations, so these years are not shown1998–2006: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,266 citing papers, 27.3% of this breakdownChina: 1,333 citing papers, 16.1% of this breakdownUnited Kingdom: 625 citing papers, 7.5% of this breakdownGermany: 390 citing papers, 4.7% of this breakdownCanada: 309 citing papers, 3.7% of this breakdownJapan: 287 citing papers, 3.5% of this breakdownSouth Korea: 277 citing papers, 3.3% of this breakdownFrance: 227 citing papers, 2.7% of this breakdownIndia: 203 citing papers, 2.5% of this breakdownAustralia: 178 citing papers, 2.1% of this breakdownSwitzerland: 172 citing papers, 2.1% of this breakdownSingapore: 156 citing papers, 1.9% of this breakdown
0%27.3%Other 22.6%

Institutions

Fields

  • Computer Science80.7%
  • Engineering5.8%
  • Social Sciences2%
  • Medicine2%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Neuroscience1.3%
  • Other6.9%

Topics

  • Topic Modeling8.5%
  • Natural Language Processing Techniques7.4%
  • Speech Recognition and Synthesis6.1%
  • Advanced Neural Network Applications5%
  • Music and Audio Processing4.3%
  • Speech and Audio Processing4%
  • Other64.7%

Coauthors

All papers

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  1. Training Compute-Optimal Large Language Models

    Authors: Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre - arXiv (Cornell University), CoRR 2022 cited by 2,743

  2. Scaling Language Models: Methods, Analysis & Insights from Training Gopher

    Authors: Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving - arXiv (Cornell University), CoRR 2021 cited by 1,133

  3. Mixed Precision Training

    Authors: Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu - ICLR (Poster) 2018 cited by 2,457

  4. The State of Sparsity in Deep Neural Networks

    Authors: Trevor Gale, Erich Elsen, Sara Hooker - arXiv (Cornell University), CoRR 2019 cited by 624

  5. Improving Language Models by Retrieving from Trillions of Tokens

    Authors: 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 - ICML 2022 cited by 1,785

  6. Intelligent Query Answering with Contextual Knowledge for Relational Databases

    Authors: Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng - SLATE 2021 cited by 1,519

  7. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

    Authors: 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 - ICML 2016 cited by 3,180

  8. Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

    Authors: Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse H. Engel, Douglas Eck - ICLR 2019 cited by 596

  9. Rigging the Lottery: Making All Tickets Winners

    Authors: Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen - International Conference on Machine Learning, ICML 2020 cited by 758

  10. Step-unrolled Denoising Autoencoders for Text Generation

    Authors: Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aäron van den Oord - ICLR 2022 cited by 152

  11. Unified Scaling Laws for Routed Language Models

    Authors: 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 - ICML 2022 cited by 285

  12. Training Compute-Optimal Large Language Models

    Authors: Sebastian Borgeaud, Sebastian Borgeaud, Trevor Cai, Aidan Clark, Bogdan Damoc, Diego Couto de Las Casas, Erich Elsen, Aurelia Guy, Lisa Anne Hendricks, Thomas Hennigan, Jordan Hoffmann, Arthur Mensch, Katherine Millican, George Van Den Driessche, Simon Osindero, Jack Rae, Eliza Rutherford, Laurent Sifre, Karen Simonyan, Oriol Vinyals, Oriol Vinyals, Johannes Welbl - Advances in Neural Information Processing Systems 35 2022 cited by 56

  13. High Fidelity Speech Synthesis with Adversarial Networks

    Authors: Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan - ICLR 2020 cited by 264

  14. Parallel WaveNet: Fast High-Fidelity Speech Synthesis

    Authors: 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 - ICML 2018 cited by 913

  15. Onsets and Frames: Dual-Objective Piano Transcription

    Authors: Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck - ISMIR 2018 cited by 70

  16. The Difficulty of Training Sparse Neural Networks

    Authors: Utku Evci, Fabian Pedregosa, Aidan N. Gomez, Erich Elsen - arXiv (Cornell University), CoRR 2019 cited by 64

  17. Exploring Sparsity in Recurrent Neural Networks

    Authors: Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen - ICLR (Poster) 2017 cited by 328

  18. Sparse GPU Kernels for Deep Learning

    Authors: Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen - SC20: International Conference for High Performance Computing 2020 cited by 36

  19. DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow

    Authors: 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 - ICLR (Poster) 2017 cited by 219

  20. On the Generalization Benefit of Noise in Stochastic Gradient Descent

    Authors: Samuel L. Smith, Erich Elsen, Soham De - ICML 2020 cited by 129

  21. End-to-End Adversarial Text-to-Speech

    Authors: Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan - ICLR 2021 cited by 197

  22. The State of Sparse Training in Deep Reinforcement Learning

    Authors: Laura Graesser, Utku Evci, Erich Elsen, Pablo Samuel Castro - ICML 2022 cited by 73

  23. Liszt: a domain specific language for building portable mesh-based PDE solvers

    Authors: 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 - IEEE International Conference on High Performance Computing, Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis 2011 cited by 203

  24. A Practical Sparse Approximation for Real Time Recurrent Learning

    Authors: Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves - arXiv (Cornell University), CoRR 2020 cited by 13