Kim, Jungtaek

1. Bootstrapping Neural Processes
   2020/08/07 by Lee, Juho, Lee, Yoonho, Kim, Jungtaek +3 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data
   2025/02/10 by Thomas Zeng, Shuibai Zhang, Zeng, Thomas +27 · 12 citations
   Business, Management and Accounting · #Business Process Modeling and Analysis
3. On Evaluation Metrics for Graph Generative Models
   2022/01/24 by Rylee Thompson, Thompson, Rylee, B. A. Knyazev +7 · 3 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
4. Generative Neural Fields by Mixtures of Neural Implicit Functions
   2023/10/30 by You, Tackgeun, Kim, Mijeong, Kim, Jungtaek +1 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
   2023/10/11 by Jungtaek Kim, Kim, Jungtaek, Jeongbeen Yoon +3 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
6. Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
   2023/10/29 by Kim, Jungtaek, Li, Mingxuan, Hinder, Oliver +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optics (physics.optics)
7. Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
   2024/02/12 by Jun, Kwang-Sung, Kim, Jungtaek · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)