Erik Nijkamp
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Neural Networks and Applications, Topic Modeling, Natural Language Processing Techniques, Music and Audio Processing
Most-Cited Works
- → Large-scale matrix factorization with distributed stochastic gradient descent(2011)616 cited
- → Deep Learning With TensorFlow: A Review(2019)507 cited
- → ProGen2: Exploring the boundaries of protein language models(2023)381 cited
- → CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis(2022)234 cited
- → Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model(2019)72 cited
- → Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation(2020)69 cited
- → Flow Contrastive Estimation of Energy-Based Models(2020)63 cited
- → Massively parallel data analysis with PACTs on Nephele(2010)56 cited
- → Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model(2019)51 cited