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Affinity Event
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
Yuwei Zhang · Tong Xia · Aaqib Saeed · Cecilia Mascolo
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Workshop
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Sat 14:42
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Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal · Aviv Netanyahu · Kevin P. Greenman · Pulkit Agrawal · Rafael Gomez-Bombarelli
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Workshop
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LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration
Camiel Oerlemans · Bram Grooten · Michiel Braat · Alaa Alassi · Emilia Silvas · Decebal Constantin Mocanu
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Workshop
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Deep Interactions for Multimodal Molecular Property Prediction
Patrick Soga · Zhenyu Lei · Camille Bilodeau · Jundong Li
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Poster
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Wed 16:30
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SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li · Boya Xiong · Guanhua Chen · Yun Chen
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Workshop
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Multimodal AI framework for predicting candidate high temperature superconductors
Nidhish Sagar · Eslam G. Al-Sakkari · Ahmed Ragab
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Affinity Event
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Lattice Lingo: Effect of Textual Detail on Multimodal Learning for Property Prediction of Crystals
Mrigi Munjal · Jaewan Lee · Changyoung Park · Sehui Han
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Poster
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Fri 11:00
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Toward Conditional Distribution Calibration in Survival Prediction
Shi-ang Qi · Yakun Yu · Russell Greiner
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Workshop
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TrialDura: Multimodal Hierarchical Attentive Transformer for Explainable Clinical Trial Duration Prediction
Ling YUE · Sixue Xing · Jonathan Li · MD ZABIRUL ISLAM · Bolun Xia · Jintai Chen · Tianfan Fu
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Workshop
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Can Bayesian Neural Networks Make Confident Predictions?
Katharine Fisher
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