Scholar
Yusuke Tanaka
Google Scholar ID: leMnxA4AAAAJ
NTT / NAIST
Citations & Impact
Citations
283
H-index
10
i10-index
10
Publications
20
Co-authors
23
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations, AISTATS, 2025.
- - Learning Hamiltonian Partial Differential Equations Using DeepONet with A Symplectic Branch Network, SCML, 2025.
- - Learning Hamiltonian Density Using DeepONet for Modeling Wave Equations, SCML, 2025.
- - Energy-consistent Neural Operator Learning, SCML, 2025.
- - Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective, NeurIPS, 2024.
- - Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics, IJCAI, 2024.
- - ... (more publications)
Research Experience
- Serves as a Research Scientist at NTT Communication Science Laboratories and holds a position as a Visiting Associate Professor at the Graduate School of Science and Technology, NAIST.
Education
- Degree: Ph.D.
- School: Not specified in detail
- Advisor: Not specified in detail
Background
- Research interests include machine learning (probabilistic models, Gaussian processes, point processes, deep learning, etc.), scientific machine learning (operator learning, physics-informed neural networks, neural ODEs, etc.), and data science (spatio-temporal data analysis, user modeling, etc.). He is a Research Scientist at NTT Communication Science Laboratories and a Visiting Associate Professor at the Graduate School of Science and Technology, NAIST.
