Naoya Takeishi
11 papers · 2017–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (7) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (27)
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Hot Topic Early Bird
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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(5)
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Keyword Collector
(54)
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Century Club
(11)
Conferences
NIPS (4)
IJCAI (2)
AAAI (1)
ACL (1)
ACML (1)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
neural network
(4)
generative model
(2)
variational autoencoder
(2)
bayesian inference
(2)
dynamic mode decomposition
(2)
koopman operator
(2)
granger causality
(1)
linear regression
(1)
topic modeling
(1)
multiple kernel learning
(1)
posterior inference
(1)
spectral analysis
(1)
gibbs sampler
(1)
topic hierarchy
(1)
knowledge transfer
(1)
latent variable
(1)
dynamical system
(1)
prior knowledge
(1)
topic model
(1)
spectral decomposition
(1)
Papers
Mimicking Better by Matching the Approximate Action Distribution
ICML 2024
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
AISTATS 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
NIPS 2023
Learning interaction rules from multi-animal trajectories via augmented behavioral models
NIPS 2021
Learning Dynamics Models with Stable Invariant Sets
AAAI 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
NIPS 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
NIPS 2017