Yoshinobu Kawahara
21 papers · 2006–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Academic Marathon
(19)
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
π
Century Club
(21)
ποΈ
Keyword Collector
(54)
π₯
Unstoppable
(7)
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (10)
JMLR (3)
AISTATS (2)
IJCAI (2)
AAAI (1)
ACML (1)
ICML (1)
UAI (1)
Top co-authors
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