Erik Nijkamp
University of California, Los Angeles
H-index: 20
North America-United States
Top articles of Erik Nijkamp
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Systems and methods for long document summarization | 2024/3/26 | ||
Codegen2: Lessons for training llms on programming and natural languages | arXiv preprint arXiv:2305.02309 | Erik Nijkamp Hiroaki Hayashi Caiming Xiong Silvio Savarese Yingbo Zhou | 2023/5/3 |
Progen2: exploring the boundaries of protein language models | Cell Systems | Erik Nijkamp Jeffrey A Ruffolo Eli N Weinstein Nikhil Naik Ali Madani | 2023/11/15 |
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization | arXiv preprint arXiv:2302.00138 | Omead Pooladzandi Pasha Khosravi Erik Nijkamp Baharan Mirzasoleiman | 2023/1/31 |
Systems and methods for a conversational framework of program synthesis | 2023/9/7 | ||
Neural network based representation learning for natural language processing | 2023/1/24 | ||
Xgen-7b technical report | arXiv preprint arXiv:2309.03450 | Erik Nijkamp Tian Xie Hiroaki Hayashi Bo Pang Congying Xia | 2023/9/7 |
Codegen: An open large language model for code with multi-turn program synthesis | arXiv preprint arXiv:2203.13474 | Erik Nijkamp Bo Pang Hiroaki Hayashi Lifu Tu Huan Wang | 2022/3/25 |
Long document summarization with top-down and bottom-up inference | arXiv preprint arXiv:2203.07586 | Bo Pang Erik Nijkamp Wojciech Kryściński Silvio Savarese Yingbo Zhou | 2022/3/15 |
Learning probabilistic models from generator latent spaces with hat ebm | Advances in Neural Information Processing Systems | Mitch Hill Erik Nijkamp Jonathan Mitchell Bo Pang Song-Chun Zhu | 2022/12/6 |
BigIssue: A Realistic Bug Localization Benchmark | arXiv preprint arXiv:2207.10739 | Paul Kassianik Erik Nijkamp Bo Pang Yingbo Zhou Caiming Xiong | 2022/7/21 |
Learning Descriptive and Generative Models with Short-Run MCMC | Erik Lennart Nijkamp | 2021 | |
SCRIPT: Self-critic PreTraining of transformers | Erik Nijkamp Bo Pang Ying Nian Wu Caiming Xiong | 2021/6 | |
Generative text modeling through short run inference | Bo Pang Erik Nijkamp Tian Han Ying Nian Wu | 2021/5/27 | |
Learning multi-layer latent variable model with short run mcmc inference dynamics | European Conference on Computer Vision | Erik Nijkamp Bo Pang Tian Han Linqi Zhou Song-Chun Zhu | 2021/1 |
Deep learning with tensorflow: A review | Bo Pang Erik Nijkamp Ying Nian Wu | 2020/4 | |
Learning energy-based model with flow-based backbone by neural transport mcmc | arXiv preprint arXiv:2006.06897 | Erik Nijkamp Ruiqi Gao Pavel Sountsov Srinivas Vasudevan Bo Pang | 2020 |
Representation learning: A statistical perspective | Jianwen Xie Ruiqi Gao Erik Nijkamp Song-Chun Zhu Ying Nian Wu | 2020/3/7 | |
Semi-supervised learning by latent space energy-based model of symbol-vector coupling | NeurIPS Workshop 2020 | Bo Pang Erik Nijkamp Jiali Cui Tian Han Ying Nian Wu | 2020/10/19 |
Flow contrastive estimation of energy-based models | Ruiqi Gao Erik Nijkamp Diederik P Kingma Zhen Xu Andrew M Dai | 2020 |
