Janis Bajars

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Structure-preserving dimensionality reduction for learning Hamiltonian dynamics.
J. Comput. Phys.
Janis Bajars, Davis Kalvans
2025 — conf
Unconstrained Parametrization of Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.
EUSFLAT (2)
Janis Bajars, Davis Kalvans, Dmitry Gromov
2023 — conf
Dimensionality Reduction with Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.
NUMTA (2)
Janis Bajars
2023 J jnl
Locally-symplectic neural networks for learning volume-preserving dynamics.
J. Comput. Phys.
Janis Bajars
2023 J jnl
Spectral Properties of Exact Polarobreathers in Semiclassical Systems.
Axioms
Juan F. R. Archilla, Janis Bajars
2021 J jnl
Data-driven intrinsic localized mode detection and classification in one-dimensional crystal lattice model.
CoRR
Janis Bajars, Filips Kozirevs
2021 J jnl
Locally-symplectic neural networks for learning volume-preserving dynamics.
CoRR
Janis Bajars
2020 J jnl
Modelling uncertainties in phase-space boundary integral models of ray propagation.
Commun. Nonlinear Sci. Numer. Simul.
Janis Bajars, David J. Chappell
2018 J jnl
A boundary integral method for modelling vibroacoustic energy distributions in uncertain built up structures.
J. Comput. Phys.
Janis Bajars, David J. Chappell
2017 J jnl
Improved Approximation of Phase-Space Densities on Triangulated Domains Using Discrete Flow Mapping with p-Refinement.
J. Sci. Comput.
Janis Bajars, David J. Chappell, Timo Hartmann, Gregor Tanner
2017 J jnl
Transport of phase space densities through tetrahedral meshes using discrete flow mapping.
J. Comput. Phys.
Janis Bajars, David J. Chappell, Niels Søndergaard, Gregor Tanner