An Open Multi-Modal Foundation Model for Materials and Chemistry
- Seiji Takeda
- Indra Priyadarsini S
- et al.
- 2024
- MRS Fall Meeting 2024
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46 results for Seiji Takeda
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
- Indra Priyadarsini S
- Seiji Takeda
- et al.
- 2024
- arXiv
A Multi-View Mixture-of-Experts based on Language and Graphs for Molecular Properties Prediction
- Victor Shirasuna
- Eduardo Almeida Soares
- et al.
- 2024
- ICML 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
- 2024
- ICML 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
- 2024
- arXiv
Advancing Molecular Property Prediction through Multi-view Latent Space Fusion
- Eduardo Almeida Soares
- Akihiro Kishimoto
- et al.
- 2024
- ACS Spring 2024
A Multi-View approach based on Graphs and Chemical Language Foundation Model for Molecular Properties Prediction
- Eduardo Almeida Soares
- Akihiro Kishimoto
- et al.
- 2024
- AAAI 2024
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- Akihiro Kishimoto
- Hiroshi Kajino
- et al.
- 2023
- NeurIPS 2023
Pre-Treatment Methods for Machine Learning in Finer UV Spectrum Inference
- 2023
- MRS Fall Meeting 2023
Multi-Modal Foundation Model for Material Discovery with Conversational User Interface
- Seiji Takeda
- Akihiro Kishimoto
- et al.
- 2023
- MRS Fall Meeting 2023