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Workshop
Large scale Extraction of Composition and Properties from Materials Tables
Kausik Hira · Mohd Zaki · Mausam · N M Anoop Krishnan
Workshop
Deterministic global optimization for sample-efficient molecular design with generative machine learning
Jan Rittig · Malte Franke · Alexander Mitsos
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
Workshop
Transfer Learning in Materials Informatics: structure-property relationships through minimal but highly informative multimodal input
Dario Massa · Grzegorz Kaszuba · Stefanos Papanikolaou · Piotr Sankowski
Affinity Event
Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
Workshop
Adaptive Representation of MOFs in Bayesian Optimization
Mahyar Rajabi Kochi · Negareh Mahboubi · Aseem Gill · Mohamad Moosavi
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