Takaharu Yaguchi
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Keyword Champion
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(6)
Architectures
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core AI
(3)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization
(2)
Core Methods
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
dynamical system
(3)
neural network
(3)
partial differential equation
(2)
physics-informed neural network
(2)
neural differential equation
(1)
memory efficiency
(1)
perturbation theory
(1)
approximation theory
(1)
generalization error bound
(1)
differential equation
(1)
covering number
(1)
neural operator
(1)
adjoint method
(1)
neural ode
(1)
pde solving
(1)
hamiltonian equation
(1)
gradient computation
(1)
energy conservation
(1)
collocation point
(1)
automatic differentiation
(1)
Papers
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
AISTATS 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
AAAI 2025
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
ICLR 2025
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