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24 Results
Affinity Event
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Evaluating Machine Learning Methods for PM2.5 Estimation Using Satellite AOD, Low-Cost and Reference-Grade Monitors in Kampala. Priscilla Adong · Soumyabrata Dev |
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Poster
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Fri 16:30 |
Solving Minimum-Cost Reach Avoid using Reinforcement Learning Oswin So · Cheng Ge · Chuchu Fan |
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Workshop
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Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification Gregory Canal · Vladimir Leung · John Guerrerio · Philip Sage · I-Jeng Wang |
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Poster
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Thu 11:00 |
Cost-efficient Knowledge-based Question Answering with Large Language Models Junnan Dong · Qinggang Zhang · Chuang Zhou · Hao Chen · Daochen Zha · Xiao Huang |
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Poster
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Wed 11:00 |
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios Nicolás Astorga · Tennison Liu · Nabeel Seedat · Mihaela van der Schaar |
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Poster
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Wed 16:30 |
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie · Raul Astudillo · Peter Frazier · Ziv Scully · Alexander Terenin |
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Workshop
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Cost-effective Reduced-Order Modeling via Bayesian Active Learning Amir Hossein Rahmati · Nathan Urban · Byung-Jun Yoon · Xiaoning Qian |
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Workshop
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Informed Tree of Thought: Cost-efficient Problem Solving with Large Language Models Sajad Mousavi · Desik Rengarajan · Ashwin Ramesh Babu · Sahand Ghorbanpour · Vineet Gundecha · Avisek Naug · Soumyendu Sarkar |
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Workshop
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Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models Sungmin Cha · Sungjun Cho · Dasol Hwang · Moontae Lee |
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Workshop
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Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs Yuto Shibata · Yasunori Kudo · Yohei Sugawara |
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Workshop
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Optimizing Carbon Emissions and Cost Reductions for Household Energy Demand Using Machine Learning Shivani Chotalia · Kyungmin Lee · Soazig Kaam · Victor Hutse · David Quispe |
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Workshop
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Lightweight Neural App Control Filippos Christianos · Georgios Papoudakis · Thomas Coste · Jianye Hao · Jun Wang · Kun Shao |