Naoya Takeishi
12 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(65)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Deep Learning
(6)
Core Methods
(5)
Optimization & Theory
(5)
Core AI
(4)
Learning Types
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Models
(2)
Optimization
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Robotics
(1)
Keywords
neural network
(4)
dynamic mode decomposition
(2)
koopman operator
(2)
generative model
(2)
nonlinear dynamical system
(2)
bayesian inference
(2)
variational autoencoder
(2)
uncertainty quantification
(1)
lyapunov function
(1)
imitation learning
(1)
granger causality
(1)
prior knowledge
(1)
posterior inference
(1)
multiple kernel learning
(1)
topic modeling
(1)
domain adaptation
(1)
topic hierarchy
(1)
gibbs sampler
(1)
spectral decomposition
(1)
knowledge transfer
(1)
Papers
Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems
ACML 2025
Mimicking Better by Matching the Approximate Action Distribution
ICML 2024
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
NeurIPS 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
AISTATS 2023
Learning Dynamics Models with Stable Invariant Sets
AAAI 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models
NeurIPS 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
NeurIPS 2021
Knowledge-Based Regularization in Generative Modeling
IJCAI 2020
Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators
ACML 2019
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections
ACL 2018
Bayesian Dynamic Mode Decomposition
IJCAI 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
NeurIPS 2017