Youngseog Chung

21 papers A* 3A 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. Trans. Mach. Learn. Res. Youngseog Chung, Dhruv Malik, Jeff Schneider, Yuanzhi Li, Aarti Singh
2024	—	`conf`	Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. ENLSP Youngseog Chung, Dhruv Malik, Jeff Schneider, Yuanzhi Li, Aarti Singh
2024	J	`jnl`	Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. CoRR Youngseog Chung, Dhruv Malik, Jeff G. Schneider, Yuanzhi Li, Aarti Singh
2024	J	`jnl`	Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing. CoRR Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
2024	J	`jnl`	Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. CoRR Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff G. Schneider
2024	A*	`conf`	Sampling-based Multi-dimensional Recalibration. ICML Youngseog Chung, Ian Char, Jeff Schneider
2024	J	`jnl`	What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions. CoRR 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
2023	J	`jnl`	Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning. CoRR Satoshi Kataoka, Youngseog Chung, Seyed Kamyar Seyed Ghasemipour, Pannag Sanketi, Shixiang Shane Gu, Igor Mordatch
2023	J	`jnl`	MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions. CoRR Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
2023	—	`conf`	Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
2023	J	`jnl`	Parity Calibration. CoRR Youngseog Chung, Aaron Rumack, Chirag Gupta
2023	A	`conf`	Parity calibration. UAI Youngseog Chung, Aaron Rumack, Chirag Gupta
2023	J	`jnl`	Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset. CoRR Jacob Tyo, Youngseog Chung, Motolani Olarinre, Zachary C. Lipton
2022	J	`jnl`	How Useful are Gradients for OOD Detection Really? CoRR Conor Igoe, Youngseog Chung, Ian Char, Jeff Schneider
2021	A*	`conf`	Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. NeurIPS Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
2021	—	`conf`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
2021	J	`jnl`	Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification. CoRR Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger
2020	J	`jnl`	Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. CoRR Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
2020	J	`jnl`	Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2020	J	`jnl`	Offline Contextual Bayesian Optimization for Nuclear Fusion. CoRR Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
2019	A*	`conf`	Offline Contextual Bayesian Optimization. NeurIPS Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Oak Nelson, Mark D. Boyer, Egemen Kolemen