Erik Nijkamp

PhD student, University of California, Los Angeles

Joined

September 2019

Names

Erik Nijkamp (Preferred)

Emails

****@ucla.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

University of California, Los Angeles (ucla.edu)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization
Omead Pooladzandi, Pasha Khosravi, Erik Nijkamp, Baharan Mirzasoleiman
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
- Published: 01 Feb 2023, Last Modified: 27 Feb 2023
- ICLR 2023 notable top 25%
- Readers: Everyone
ProGen2: Exploring the Boundaries of Protein Language Models
Erik Nijkamp, Jeffrey Ruffolo, Eli N Weinstein, Nikhil Naik, Ali Madani
- 22 Sept 2022 (modified: 15 Jan 2026)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Mitch Hill, Erik Nijkamp, Jonathan Craig Mitchell, Bo Pang, Song-Chun Zhu
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Long Document Summarization with Top-Down and Bottom-Up Representation Inference
Bo Pang, Erik Nijkamp, Wojciech Maciej Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu
- Published: 09 Dec 2020, Last Modified: 05 May 2023
- ICBINB 2020 Poster
- Readers: Everyone

Erik Nijkamp

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

ProGen2: Exploring the Boundaries of Protein Language Models

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC

Long Document Summarization with Top-Down and Bottom-Up Representation Inference

Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling

Co-Authors