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Workshop
LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
Andre Niyongabo Rubungo · Kangming Li · Jason Hattrick-Simpers · Adji Bousso Dieng
Workshop
A Geometric Foundation Model for Crystalline Material Discovery
Shengchao Liu · Divin Yan · weitao Du · Zhuoxinran Li · Zhiling Zheng · Omar Yaghi · Christian Borgs · Hongyu Guo · Animashree Anandkumar · Jennifer Chayes
Affinity Event
Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
Workshop
Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
Workshop
Sat 14:42 Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal · Aviv Netanyahu · Kevin P. Greenman · Pulkit Agrawal · Rafael Gomez-Bombarelli
Workshop
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
Liang Zeng
Poster
Thu 16:30 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu
Workshop
A Large Encoder-Decoder Polymer-Based Foundation Model
Eduardo Soares · Nathaniel Park · Emilio Vital Brazil · Victor Yukio Shirasuna
Affinity Event
Lattice Lingo: Effect of Textual Detail on Multimodal Learning for Property Prediction of Crystals
Mrigi Munjal · Jaewan Lee · Changyoung Park · Sehui Han
Poster
Wed 16:30 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang · Qiang Liu · Shaozhen Liu · Xin Sun · Shu Wu · Liang Wang
Workshop
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu · Artem Moskalev · Tommaso Mansi · Mangal Prakash · Rui Liao
Poster
Thu 16:30 Instructor-inspired Machine Learning for Robust Molecular Property Prediction
Fang Wu · Shuting Jin · Siyuan Li · Stan Z. Li