Iwata, Tomoharu
69 publications
AISTATS
2025
Energy-Consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
ECML-PKDD
2025
Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization
ICML
2025
K$^2$IE: Kernel Method-Based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
TMLR
2025
Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions
AISTATS
2024
Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers
NeurIPS
2022
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
NeurIPS
2021
Loss Function Based Second-Order Jensen Inequality and Its Application to Particle Variational Inference
AAAI
2019
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities
AAAI
2017
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance
ECML-PKDD
2017
Structurally Regularized Non-Negative Tensor Factorization for Spatio-Temporal Pattern Discoveries
NeurIPS
2015
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
AISTATS
2015
Cross-Domain Recommendation Without Shared Users or Items by Sharing Latent Vector Distributions