Dynamic Multimodal Fusion for Robust Molecular Representation LearningIndra Priyadarsini SSeiji Takedaet al.2025ACS Fall 2025
Multi-View Mixture-of-Experts for predicting molecular properties using SMILES, SELFIES, and graph-based representationsEduardo Almeida SoaresVictor Yukio Shirasunaet al.2025Machine Learning: Science and Tech.
Unifying Materials Representations through Foundation Models: The FM4M ApproachIndra Priyadarsini S2025ICLR 2025
Dynamic Fusion for a Multimodal Foundation Model for MaterialsIndra Priyadarsini SSeiji Takedaet al.2025ICLR 2025
Large Language Models and Foundation Models for Materials ScienceJason Hattrick - SimpersIndra Priyadarsini Set al.2025MRS Spring 2025
Mol-Moe: A multi-view mixture-of-experts framework for molecular property prediction with SMILES, SELFIES, and graph representationsVictor Yukio ShirasunaEmilio Ashton Vital Brazilet al.2025ACS Spring 2025
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material DiscoveryOnur BoyarIndra Priyadarsini Set al.2025AAAI 2025
TDiMS : A Topological Distance based Intra-Molecular Substructure Descriptor for Improved Machine Learning PredictionsLisa HamadaIndra Priyadarsini Set al.2025AAAI 2025
Enhancing Molecular Expressiveness through Multi-View RepresentationsIndra Priyadarsini SSeiji Takedaet al.2024NeurIPS 2024
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based RepresentationsEduardo Almeida SoaresIndra Priyadarsini Set al.2024NeurIPS 2024