Kiran Bacsa

According to our database, Kiran Bacsa authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics.

Wei Liu, Kiran Bacsa, Loon Ching Tang, Eleni N. Chatzi

CoRR, June, 2025

Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers.

Xudong Jian, Kiran Bacsa, Gregory Duthé, Eleni N. Chatzi

CoRR, May, 2025

2024

Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures.

Xudong Jian, Yutong Xia, Gregory Duthé, Kiran Bacsa, Wei Liu, Eleni N. Chatzi

CoRR, 2024

2023

Discussing the Spectra of Physics-Enhanced Machine Learning via a Survey on Structural Mechanics Applications.

Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni N. Chatzi

CoRR, 2023

2022

Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems.

Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi

CoRR, 2022

Neural Modal ODEs: Integrating Physics-based Modeling with Neural ODEs for Modeling High Dimensional Monitored Structures.

Zhilu Lai, Wei Liu, Xudong Jian, Kiran Bacsa, Limin Sun, Eleni N. Chatzi

CoRR, 2022

2021

Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty.

Wei Liu, Zhilu Lai, Kiran Bacsa, Eleni N. Chatzi

CoRR, 2021