Youngseog Chung

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Top Venues

Publications

Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff G. Schneider, Eduard H. Hovy, Roger B. Grosse, Eric P. Xing
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions. CoRR (2024)
Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff G. Schneider
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. CoRR (2024)
Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing. CoRR (2024)
Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC (2023)
Jacob Tyo, Youngseog Chung, Motolani Olarinre, Zachary C. Lipton
Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset. CoRR (2023)
Youngseog Chung, Aaron Rumack, Chirag Gupta
Parity calibration. UAI (2023)
Satoshi Kataoka, Youngseog Chung, Seyed Kamyar Seyed Ghasemipour, Pannag Sanketi, Shixiang Shane Gu, Igor Mordatch
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning. CoRR (2023)
Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions. CoRR (2023)
Youngseog Chung, Aaron Rumack, Chirag Gupta
Parity Calibration. CoRR (2023)
Conor Igoe, Youngseog Chung, Ian Char, Jeff Schneider
How Useful are Gradients for OOD Detection Really? CoRR (2022)
Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. NeurIPS (2021)
Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification. CoRR (2021)
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC (2021)
Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
Offline Contextual Bayesian Optimization for Nuclear Fusion. CoRR (2020)
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR (2020)
Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. CoRR (2020)
Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Oak Nelson, Mark D. Boyer, Egemen Kolemen
Offline Contextual Bayesian Optimization. NeurIPS (2019)