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Workshop
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Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks
Favour Nerrise · Andrew Sosanya · Patrick Neary
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Workshop
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Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Changdae Oh · Mijoo Kim · Hyesu Lim · Junhyeok Park · Euiseog Jeong · Zhi-Qi Cheng · Kyungwoo Song
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Affinity Workshop
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Mon 13:30
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Tractable Large Scale Calibration with Reinforcement Learning
Fadel Thior · Rose Yvette Bandolo Essomba · Sekou Remy
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Workshop
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Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Han Zhou · Xingchen Wan · Lev Proleev · Diana Mincu · Jilin Chen · Katherine Heller · Subhrajit Roy
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Workshop
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SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Dingyi Zhuang · Yuheng Bu · Guang Wang · Shenhao Wang · Jinhua Zhao
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Workshop
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Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Han Zhou · Xingchen Wan · Lev Proleev · Diana Mincu · Jilin Chen · Katherine Heller · Subhrajit Roy
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Workshop
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An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Anton Winter · Nicolas Jourdan · Tristan Wirth · Volker Knauthe · Arjan Kuijper
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Workshop
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Something for (almost) nothing: improving deep ensemble calibration using unlabeled data
Konstantinos Pitas · Julyan Arbel
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Workshop
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Estimating Epistemic Uncertainty of Graph Neural Networks using Stochastic Centering
Puja Trivedi · Mark Heimann · Rushil Anirudh · Danai Koutra · Jayaraman Thiagarajan
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Workshop
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Sat 8:30
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SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
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Poster
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Thu 8:45
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Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Nika Haghtalab · Chara Podimata · Kunhe Yang
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Workshop
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Machine Learning Assisted Bayesian Calibration of Model Physics Parameters for Wetland Methane Emissions: A Case Study at a FLUXNET-CH4 Site
Sandeep Chinta · Xiang Gao · Qing Zhu
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