Nijkamp, Erik

1. CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
   2022/03/25 by Erik Nijkamp, Bo Pang, Nijkamp, Erik +13 · 128 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Software Engineering Research #Software Engineering Techniques and Practices #Software Testing and Debugging Techniques
2. ProGen2: Exploring the Boundaries of Protein Language Models
   2022/06/27 by Erik Nijkamp, Nijkamp, Erik, Jeffrey A. Ruffolo +7 · 21 citations
   Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms #vaccines and immunoinformatics approaches
3. CodeGen2: Lessons for Training LLMs on Programming and Natural Languages
   2023/05/03 by Erik Nijkamp, Nijkamp, Erik, Hiroaki Hayashi +7 · 20 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling
4. Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
   2019/04/22 by Nijkamp, Erik, Hill, Mitch, Zhu, Song-Chun +1 · 8 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Long Document Summarization with Top-down and Bottom-up Inference
   2022/03/15 by Bo Pang, Pang, Bo, Erik Nijkamp +9 · 5 citations
   Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
6. Learning Latent Space Energy-Based Prior Model
   2020/06/15 by Bo Pang, Pang, Bo, Tian Han +7 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Topic Modeling
7. Flow Contrastive Estimation of Energy-Based Models
   2019/12/02 by Ruiqi Gao, Erik Nijkamp, Gao, Ruiqi +9 · 3 citations
   Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Music and Audio Processing
8. Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model
   2018/12/28 by Han, Tian, Nijkamp, Erik, Fang, Xiaolin +3 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
   2020/06/12 by Erik Nijkamp, Nijkamp, Erik, Ruiqi Gao +11 · 1 citation
   Computer Science · Materials Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications
10. Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
    2020/06/10 by Tian Han, Han, Tian, Erik Nijkamp +9 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning
11. XGen-7B Technical Report
    2023/09/07 by Nijkamp, Erik, Xie, Tian, Hayashi, Hiroaki +22 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)