← Authors

Yoshinobu Kawahara

21 papers · 2006–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸƒ Academic Marathon (19) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ’Ž Century Club (21) πŸ—ƒοΈ Keyword Collector (54) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

NIPS (10) JMLR (3) AISTATS (2) IJCAI (2) AAAI (1) ACML (1) ICML (1) UAI (1)

Top co-authors

Naoya Takeishi (5) Takashi Washio (3) Masahiro Ikeda (3) Takehisa Yairi (3) Yuka Hashimoto (3) Isao Ishikawa (3) Kiyohito Nagano (2) Keisuke Fujii (2) Patrik O. Hoyer (1) Takanori Inazumi (1)

Keywords

dynamical system (5) submodular function (4) dynamic mode decomposition (4) neural network (3) reproducing kernel hilbert space (3) submodular optimization (2) active learning (2) nonlinear dynamical system (2) koopman operator (2) feature selection (2) combinatorial optimization (2) feature extraction (1) reinforcement learning (1) bayesian inference (1) anomaly detection (1) variational inference (1) generative modeling (1) policy optimization (1) tensor decomposition (1) model selection (1)

Papers

Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators AISTATS 2025
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning ICML 2024
Many-body Approximation for Non-negative Tensors NIPS 2023
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Learning Dynamics Models with Stable Invariant Sets AAAI 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models NIPS 2021
Knowledge-Based Regularization in Generative Modeling IJCAI 2020
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise JMLR 2020
Variational Inference of Penalized Regression with Submodular Functions UAI 2019
Active Change-Point Detection ACML 2019
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NIPS 2018
Bayesian Dynamic Mode Decomposition IJCAI 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NIPS 2017
Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis NIPS 2016
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity AISTATS 2015
Weighted Likelihood Policy Search with Model Selection NIPS 2012
Prismatic Algorithm for Discrete D.C. Programming Problem NIPS 2011
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011
Minimum Average Cost Clustering NIPS 2010
Submodularity Cuts and Applications NIPS 2009
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006