Takaharu Yaguchi
8 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer
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Cross-Pollinator
(10)
Conferences
NIPS (3)
AAAI (2)
ICLR (2)
AISTATS (1)
Top co-authors
Keywords
physics-informed neural network
(2)
neural network
(2)
gradient computation
(1)
generalization error bound
(1)
dynamical system
(1)
memory efficiency
(1)
partial differential equation
(1)
approximation theory
(1)
differential equation
(1)
adjoint method
(1)
neural ode
(1)
hamiltonian equation
(1)
pde solving
(1)
covering number
(1)
collocation point
(1)
symplectic integrator
(1)
conservation law
(1)
hamiltonian neural network
(1)
kam theory
(1)
number theoretic method
(1)
Papers
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
ICLR 2025
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
AAAI 2025
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
AISTATS 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
NIPS 2021
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
NIPS 2021
Deep Energy-based Modeling of Discrete-Time Physics
NIPS 2020