Publications

13 results for Hajime Shinohara

Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature Limitation
- - Hajime Shinohara
  - Akihiro Kishimoto
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Enhancing Molecular Expressiveness through Multi-View Representations
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2024
- NeurIPS 2024
Workshop paper
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2024
- NeurIPS 2024
Workshop paper
A Dynamic Multi-Modal Fusion Model for Material Discovery
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2024
- MRS Fall Meeting 2024
Conference paper
Molecular Descriptor for Global Relationship of intra-Molecular Substructures
- - Lisa Hamada
  - Akihiro Kishimoto
  - et al.
- 2024
- MRS Fall Meeting 2024
Conference paper
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
Talk
An Open Multi-Modal Foundation Model for Materials and Chemistry
- - Seiji Takeda
  - Indra Priyadarsini S
  - et al.
- 2024
- MRS Fall Meeting 2024
Talk
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
- - Indra Priyadarsini S
  - Vidushi Sharma
  - et al.
- 2024
- ICML 2024
Workshop paper
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- - Akihiro Kishimoto
  - Hiroshi Kajino
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Multi-Modal Foundation Model for Material Discovery with Conversational User Interface
- - Seiji Takeda
  - Akihiro Kishimoto
  - et al.
- 2023
- MRS Fall Meeting 2023
Talk