Takashi Matsubara
13 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (8) π Conference Polyglot (5) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (32)
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Interdisciplinary Bridge
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Taxonomy Completionist
(32)
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Topic Evolution
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(64)
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Century Club
(12)
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Unstoppable
(6)
Conferences
AAAI (3)
ACML (3)
NIPS (3)
CVPR (2)
ICLR (2)
Top co-authors
Keywords
convolutional neural network
(3)
image generation
(2)
physics-informed neural network
(2)
neural network
(2)
statistical learning theory
(1)
attention mechanism
(1)
reinforcement learning
(1)
text-to-image generation
(1)
bayesian inference
(1)
label smoothing
(1)
posterior estimation
(1)
perturbation theory
(1)
gradient computation
(1)
weight sharing
(1)
nonlinear transformation
(1)
image synthesis
(1)
image recognition
(1)
generalization error bound
(1)
diffusion model
(1)
model averaging
(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
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
ICLR 2023
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
CVPR 2023
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
AAAI 2022
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
NIPS 2021
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
NIPS 2021
Deep Energy-based Modeling of Discrete-Time Physics
NIPS 2020
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs
ACML 2018
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN
ACML 2018
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel
ACML 2017