Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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41 results for Seiji Takeda

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
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations
- - Eduardo Almeida Soares
  - Indra Priyadarsini S
  - et al.
- 2024
- NeurIPS 2024
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2024
- NeurIPS 2024
Molecular Descriptors Based on Global Structure Information of Substructures
- - Lisa Hamada
  - Seiji Takeda
  - et al.
- 2022
- JSAI 2022
Molecular Inverse-Design Platform for Material Industries
- - Seiji Takeda
  - Toshiyuki Hama
  - et al.
- 2020
- KDD 2020
Time delay reservoir computing with VCSEL
- - Jean Benoit Héroux
  - Gouhei Tanaka
  - et al.
- 2020
- SPIE OPTO 2020
Demonstration of high-bandwidth density and low-power organic optical MCM link
- - Masao Tokunari
  - Seiji Takeda
  - et al.
- 2013
- ICSJ 2013
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2024
- arXiv
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
- - Indra Priyadarsini S
  - Vidushi Sharma
  - et al.
- 2024
- arXiv
Recent advances in physical reservoir computing: A review
- - Gouhei Tanaka
  - Toshiyuki Yamane
  - et al.
- 2019
- Neural Networks