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Parity calibration., , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 413-423. PMLR, (2023)Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification., , , and . CoRR, (2020)Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks., , , , and . CoRR, (2024)MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions., , , and . CoRR, (2023)Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset., , , and . CoRR, (2023)Offline Model-Based Reinforcement Learning for Tokamak Control., , , , , , , , , and 1 other author(s). L4DC, volume 211 of Proceedings of Machine Learning Research, page 1357-1372. PMLR, (2023)Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning., , , , , and . CoRR, (2023)Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction., , , , , , , and . CDC, page 3735-3742. IEEE, (2021)What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions., , , , , , , , , and 4 other author(s). CoRR, (2024)Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification., , , and . NeurIPS, page 10971-10984. (2021)