Publications

51 results for Seiji Takeda

Molecular Descriptor for Global Relationship of intra-Molecular Substructures
- - Lisa Hamada
  - Akihiro Kishimoto
  - et al.
- 2024
- MRS Fall Meeting 2024
A Dynamic Multi-Modal Fusion Model for Material Discovery
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2024
- MRS Fall Meeting 2024
Advancing Open-Source AI in Chemistry and Materials—From Foundation Models to Integrated Frameworks to Solve Global Challenges
- - Kristin Schmidt
  - Eduardo Almeida Soares
  - et al.
- 2024
- MRS Fall Meeting 2024
An Open Multi-Modal Foundation Model for Materials and Chemistry
- - Seiji Takeda
  - Indra Priyadarsini S
  - et al.
- 2024
- MRS Fall Meeting 2024
Domain-Specific Knowledge Integration Through Curriculum Learning Method in Machine Learning for Spectral Analysis
- - Hajime Shinohara
  - Akihiro Kishimoto
  - et al.
- 2024
- MRS Fall Meeting 2024
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
- - Indra Priyadarsini S
  - Vidushi Sharma
  - et al.
- 2024
- ICML 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
- - Indra Priyadarsini S
  - Vidushi Sharma
  - et al.
- 2024
- arXiv
Advancing Molecular Property Prediction through Multi-view Latent Space Fusion
- - Eduardo Almeida Soares
  - Akihiro Kishimoto
  - et al.
- 2024
- ACS Spring 2024