Parity Calibration von Chung, Youngseog, Rumack, Aaron, Gupta, Chirag

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Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts von Chung, Youngseog, Malik, Dhruv, Schneider, Jeff, Li, Yuanzhi, Singh, Aarti

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Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks von Char, Ian, Chung, Youngseog, Abbate, Joseph, Kolemen, Egemen, Schneider, Jeff

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Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing von Tyo, Jacob, Olarinre, Motolani, Chung, Youngseog, Lipton, Zachary C

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Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset von Tyo, Jacob, Chung, Youngseog, Olarinre, Motolani, Lipton, Zachary C

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MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions von Tyo, Jacob, Olarinre, Motolani, Chung, Youngseog, Lipton, Zachary C

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How Useful are Gradients for OOD Detection Really? von Igoe, Conor, Chung, Youngseog, Char, Ian, Schneider, Jeff

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Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification von Chung, Youngseog, Char, Ian, Guo, Han, Schneider, Jeff, Neiswanger, Willie

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Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning von Kataoka, Satoshi, Chung, Youngseog, Ghasemipour, Seyed Kamyar Seyed, Sanketi, Pannag, Gu, Shixiang Shane, Mordatch, Igor

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Parity Calibration von Chung, Youngseog, Rumack, Aaron, Gupta, Chirag

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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification von Chung, Youngseog, Neiswanger, Willie, Char, Ian, Schneider, Jeff

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Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks von Char, Ian, Chung, Youngseog, Abbate, Joseph, Kolemen, Egemen, Schneider, Jeff

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Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing von Tyo, Jacob, Olarinre, Motolani, Chung, Youngseog, Lipton, Zachary C

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What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions von Choe, Sang Keun, Ahn, Hwijeen, Bae, Juhan, Zhao, Kewen, Kang, Minsoo, Chung, Youngseog, Pratapa, Adithya, Neiswanger, Willie, Strubell, Emma, Mitamura, Teruko, Schneider, Jeff, Hovy, Eduard, Grosse, Roger, Xing, Eric

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Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset von Tyo, Jacob, Chung, Youngseog, Olarinre, Motolani, Lipton, Zachary C

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MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions von Tyo, Jacob, Olarinre, Motolani, Chung, Youngseog, Lipton, Zachary C

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Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction von Mehta, Viraj, Char, Ian, Neiswanger, Willie, Chung, Youngseog, Nelson, Andrew Oakleigh, Boyer, Mark D, Kolemen, Egemen, Schneider, Jeff

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How Useful are Gradients for OOD Detection Really? von Igoe, Conor, Chung, Youngseog, Char, Ian, Schneider, Jeff

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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification von Chung, Youngseog, Neiswanger, Willie, Char, Ian, Schneider, Jeff

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Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification von Chung, Youngseog, Char, Ian, Guo, Han, Schneider, Jeff, Neiswanger, Willie

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