Sai Karthikeya Vemuri

According to our database, Sai Karthikeya Vemuri authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

F-INR: Functional Tensor Decomposition for Implicit Neural Representations.

Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Uncertainty-aware Physics-informed Neural Networks for Robust CARS-to-Raman Signal Reconstruction.

Aishwarya Venkataramanan, Sai Karthikeya Vemuri, Adithya Ashok Chalain Valapil, Joachim Denzler

CoRR, November, 2025

Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks.

Phillip Rothenbeck, Sai Karthikeya Vemuri, Niklas Penzel, Joachim Denzler

CoRR, October, 2025

RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics.

Sai Karthikeya Vemuri, Adithya Ashok Chalain Valapil, Tim Büchner, Joachim Denzler

CoRR, October, 2025

2024

Functional Tensor Decompositions for Physics-Informed Neural Networks.

Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks.

Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks.

Sai Karthikeya Vemuri, Joachim Denzler

Sensors, October, 2023