Erich Elsen
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Neural Network Applications 5
-
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 2
- Co-authors
- Eric Darve (3 shared papers)Patrick LeGresley (1 shared paper)Pat Hanrahan (2 shared papers)Zachary DeVito (1 shared paper)Alex Aiken (1 shared paper)Juan J. Alonso (1 shared paper)Montserrat Medina (1 shared paper)Karthik Duraisamy (1 shared paper)
- Journals
- Journal of the Mechanics and Physics of Solids (1 paper)Journal of Computational Physics (1 paper)arXiv (Cornell University) (5 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (3 papers)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Erich Elsen
17 papers receiving 567 citations
Peers
Comparison fields: 5 of 70
- Hardware and Architecture 182
- Computer Graphics and Computer-Aided Design 36
- Computer Vision and Pattern Recognition 172
- Computational Mechanics 152
- Computational Mathematics 4
Countries citing papers authored by Erich Elsen
This map shows the geographic impact of Erich Elsen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Erich Elsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Elsen more than expected).
Fields of papers citing papers by Erich Elsen
This network shows the impact of papers produced by Erich Elsen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Erich Elsen. The network helps show where Erich Elsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Erich Elsen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 167 | |
| 2 | 2011 | 144 | |
| 3 | Mixed Precision Training | 2017 | 62 |
| 4 | 2018 | 54 | |
| 5 | Persistent RNNs: stashing recurrent weights on-chip | 2016 | 36 |
| 6 | 2008 | 33 | |
| 7 | 2006 | 29 | |
| 8 | Rigging the Lottery: Making All Tickets Winners | 2020 | 20 |
| 9 | DSD: Dense-Sparse-Dense Training for Deep Neural Networks | 2016 | 12 |
| 10 | 2020 | 11 | |
| 11 | 2010 | 10 | |
| 12 | 2010 | 7 | |
| 13 | VertexAPI2 – A Vertex-Program API for Large Graph Computations on the GPU | 2014 | 7 |
| 14 | 2022 | 4 | |
| 15 | Practical Real Time Recurrent Learning with a Sparse Approximation | 2021 | 3 |
| 16 | 2010 | 3 | |
| 17 | 2021 | 2 |
About Erich Elsen
Erich Elsen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 17 papers that have together received 604 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advancements in Photolithography Techniques (3 papers), Music and Audio Processing (2 papers), Parallel Computing and Optimization Techniques (2 papers), Topic Modeling (2 papers), Advanced Data Storage Technologies (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Hardware and Architecture (182 citations), Computer Graphics and Computer-Aided Design (36 citations), Computer Vision and Pattern Recognition (172 citations), Computational Mechanics (152 citations) and Computational Mathematics (4 citations). Erich Elsen has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Eric Darve, Patrick LeGresley, Pat Hanrahan, Zachary DeVito, Alex Aiken, Juan J. Alonso, Montserrat Medina, Karthik Duraisamy, Francisco Palacios and Frank Ham. Their work appears in journals such as Journal of the Mechanics and Physics of Solids, Journal of Computational Physics, arXiv (Cornell University), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and International Conference on Learning Representations.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.