Park, Young-Jin

6 publications

NeurIPS 2025 Know What You Don't Know: Uncertainty Calibration of Process Reward Models Young-Jin Park, Kristjan Greenewald, Kaveh Alim, Hao Wang, Navid Azizan

NeurIPSW 2024 Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models the Answer? Young-Jin Park, François Germain, Jing Liu, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty

UAI 2024 Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan

NeurIPSW 2022 Uncertainty-Aware Meta-Learning for Multimodal Task Distributions Cesar Almecija, Apoorva Sharma, Young-Jin Park, Navid Azizan

NeurIPSW 2020 A Worrying Analysis of Probabilistic Time-Series Models for Sales Forecasting Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park

NeurIPS 2018 Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi