Mahindra Rautela

According to our database, Mahindra Rautela authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

Advancing accelerator virtual beam diagnostics through latent evolution modeling: an integrated solution to forward, inverse, tuning, and UQ problems.

Mahindra Rautela, Alexander Scheinker

CoRR, February, 2026

2024

Toward Deep Generation of Guided Wave Representations for Composite Materials.

Mahindra Rautela, J. Senthilnath, Armin Huber, S. Gopalakrishnan

IEEE Trans. Artif. Intell., March, 2024

CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning.

Mahindra Rautela, Alan Williams, Alexander Scheinker

CoRR, 2024

Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal.

Mahindra Rautela, Alan Williams, Alexander Scheinker

CoRR, 2024

A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators.

Mahindra Rautela, Alan Williams, Alexander Scheinker

CoRR, 2024

2022

Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search.

Mahindra Rautela, Motahareh Mirfarah, Christian Silva, Shirley Dyke, Amin Maghareh, S. Gopalakrishnan

CoRR, 2022

2021

Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks.

Mahindra Rautela, S. Gopalakrishnan

Expert Syst. Appl., 2021

2020

Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks.

Mahindra Rautela, S. Gopalakrishnan, Karthik Gopalakrishnan, Yiming Deng

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020