Janis Bajars

According to our database, Janis Bajars authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Structure-preserving dimensionality reduction for learning Hamiltonian dynamics.

Janis Bajars, Davis Kalvans

J. Comput. Phys., 2025

Unconstrained Parametrization of Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.

Janis Bajars, Davis Kalvans, Dmitry Gromov

Proceedings of the Advances in Fuzzy Logic and Technology, 2025

2023

Spectral Properties of Exact Polarobreathers in Semiclassical Systems.

Juan F. R. Archilla, Janis Bajars

Axioms, May, 2023

Locally-symplectic neural networks for learning volume-preserving dynamics.

Janis Bajars

J. Comput. Phys., March, 2023

Dimensionality Reduction with Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.

Janis Bajars

Proceedings of the Numerical Computations: Theory and Algorithms, 2023

2021

Data-driven intrinsic localized mode detection and classification in one-dimensional crystal lattice model.

Janis Bajars, Filips Kozirevs

CoRR, 2021

2020

Modelling uncertainties in phase-space boundary integral models of ray propagation.

Janis Bajars, David J. Chappell

Commun. Nonlinear Sci. Numer. Simul., 2020

2018

A boundary integral method for modelling vibroacoustic energy distributions in uncertain built up structures.

Janis Bajars, David J. Chappell

J. Comput. Phys., 2018

2017

Improved Approximation of Phase-Space Densities on Triangulated Domains Using Discrete Flow Mapping with p-Refinement.

Janis Bajars, David J. Chappell, Timo Hartmann, Gregor Tanner

J. Sci. Comput., 2017

Transport of phase space densities through tetrahedral meshes using discrete flow mapping.

Janis Bajars, David J. Chappell, Niels Søndergaard, Gregor Tanner

J. Comput. Phys., 2017