firstbacksecondback
26 Results
Affinity Event
|
Lattice Lingo: Effect of Textual Detail on Multimodal Learning for Property Prediction of Crystals Mrigi Munjal · Jaewan Lee · Changyoung Park · Sehui Han |
||
Workshop
|
Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow |
||
Workshop
|
Multi-modal cascade feature transfer for polymer property prediction Kiichi Obuchi · YUTA YAHAGI · Kota Matsui · Kiyohiko Toyama · Shukichi Tanaka |
||
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
|
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck · Shikha Surana · Manus McAuliffe · Oliver Bent · Tom Barrett · Juan Jose Garau-Luis · Paul Duckworth |
||
Workshop
|
Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow |
||
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
|
Similarity-Aware Relative Difference Learning for Improved Molecular Activity Prediction Karina Zadorozhny · Kangway Chuang · Bharath Sathappan · Ewan Wallace · Vishnu Sresht · Colin Grambow |
||
Workshop
|
LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction Andre Niyongabo Rubungo · Kangming Li · Jason Hattrick-Simpers · Adji Bousso Dieng |
||
Workshop
|
Deterministic global optimization for sample-efficient molecular design with generative machine learning Jan Rittig · Malte Franke · Alexander Mitsos |
||
Workshop
|
Integration-free kernels for equivariant Gaussian fields with application in dipole moment prediction Tim Steinert · David Ginsbourger · August Lykke-Møller · Ove Christiansen · Henry Moss |