Takashi Matsubara
13 papers · 2017–2026 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36)
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Keyword Pioneer
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Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Deep Learning
(11)
Machine Learning
(10)
Architectures
(8)
Optimization & Theory · Machine Learning
(8)
Artificial Intelligence
(6)
Core AI · Artificial Intelligence
(5)
Computer Vision
(4)
Models
(4)
Learning Types
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Core AI · Computer Vision
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
convolutional neural network
(3)
neural network
(3)
dynamical system
(3)
physics-informed neural network
(2)
image generation
(2)
attention mechanism
(1)
statistical learning theory
(1)
reinforcement learning
(1)
label smoothing
(1)
text-to-image generation
(1)
posterior estimation
(1)
perturbation theory
(1)
gradient computation
(1)
weight sharing
(1)
bayesian inference
(1)
nonlinear transformation
(1)
probabilistic distribution
(1)
image synthesis
(1)
generalization error bound
(1)
image recognition
(1)
Papers
Object-Centric World Models for Causality-Aware Reinforcement Learning
AAAI 2026
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
AAAI 2025
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
ICLR 2025
Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models
CVPR 2024
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
CVPR 2023
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
ICLR 2023
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
AAAI 2022
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
NeurIPS 2021
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
NeurIPS 2021
Deep Energy-based Modeling of Discrete-Time Physics
NeurIPS 2020
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN
ACML 2018
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs
ACML 2018
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel
ACML 2017