PPaperPicks

Tomoharu Iwata

17 papers at tracked venues · 7 at CORE A* · active 2024–2025

Venues

Frequent coauthors

Atsutoshi Kumagai
×9
Yasuhiro Fujiwara
×6
Hiroshi Takahashi
×4
Yasutoshi Ida
×3
Taishi Nishiyama
×3
Yusuke Tanaka
×2
Sekitoshi Kanai
×2
Takaharu Yaguchi
×1
Naonori Ueda
×1
Hideaki Kim
×1
Akinori Fujino
×1
Shinsaku Sakaue
×1

Papers

  1. Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
    AISTATS 2025 ·
    Yusuke Tanaka
    ,
    Takaharu Yaguchi
    , Tomoharu Iwata,
    Naonori Ueda
  2. Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization
    ECML-PKDD 2025 ·
    Yasutoshi Ida
    ,
    Sekitoshi Kanai
    ,
    Atsutoshi Kumagai
    , Tomoharu Iwata,
    Yasuhiro Fujiwara
  3. Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
    AISTATS 2025 ·
    Atsutoshi Kumagai
    , Tomoharu Iwata,
    Hiroshi Takahashi
    ,
    Taishi Nishiyama
    ,
    Yasuhiro Fujiwara
  4. K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
    ICML 2025 ·
    Hideaki Kim
    , Tomoharu Iwata,
    Akinori Fujino
  5. Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
    ICML 2025 · Tomoharu Iwata,
    Shinsaku Sakaue
  6. Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
    AISTATS 2025 · Tomoharu Iwata,
    Atsutoshi Kumagai
    ,
    Yasutoshi Ida
  7. Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
    AISTATS 2025 · Tomoharu Iwata,
    Atsutoshi Kumagai
  8. Meta-learning of Class Knowledge in Zero-shot Learning
    SDM 2025 ·
    Yuta Nambu
    ,
    Masahiro Kohjima
    , Tomoharu Iwata,
    Ryuji Yamamoto
  9. Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
    ICLR 2025 ·
    Hiroshi Takahashi
    , Tomoharu Iwata,
    Atsutoshi Kumagai
    ,
    Yuuki Yamanaka
    ,
    Tomoya Yamashita
  10. Positive-unlabeled AUC Maximization under Covariate Shift
    ICML 2025 ·
    Atsutoshi Kumagai
    , Tomoharu Iwata,
    Hiroshi Takahashi
    ,
    Taishi Nishiyama
    ,
    Kazuki Adachi
    ,
    Yasuhiro Fujiwara
  11. AUC Maximization under Positive Distribution Shift
    NeurIPS 2024 ·
    Atsutoshi Kumagai
    , Tomoharu Iwata,
    Hiroshi Takahashi
    ,
    Taishi Nishiyama
    ,
    Yasuhiro Fujiwara
  12. Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers
    AISTATS 2024 ·
    Yuya Yoshikawa
    , Tomoharu Iwata
  13. Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
    NeurIPS 2024 ·
    Yasutoshi Ida
    ,
    Sekitoshi Kanai
    ,
    Atsutoshi Kumagai
    , Tomoharu Iwata,
    Yasuhiro Fujiwara
  14. Information-theoretic Analysis of Bayesian Test Data Sensitivity
    AISTATS 2024 ·
    Futoshi Futami
    , Tomoharu Iwata
  15. Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
    IJCAI 2024 · Tomoharu Iwata,
    Yusuke Tanaka
  16. Warped Diffusion for Latent Differentiation Inference
    AISTATS 2024 ·
    Masahiro Nakano
    ,
    Hiroki Sakuma
    ,
    Ryo Nishikimi
    ,
    Ryohei Shibue
    ,
    Takashi Sato
    , Tomoharu Iwata,
    Kunio Kashino
  17. Zero-Shot Task Adaptation with Relevant Feature Information
    AAAI 2024 ·
    Atsutoshi Kumagai
    , Tomoharu Iwata,
    Yasuhiro Fujiwara