3 papers
cs.LG2025
Uncertainty-aware Physics-informed Neural Networks for Robust CARS-to-Raman Signal Reconstruction
Aishwarya Venkataramanan, Sai Karthikeya Vemuri, Adithya Ashok Chalain Valapil +1
Coherent anti-Stokes Raman scattering (CARS) spectroscopy is a powerful and rapid technique widely used in medicine, material science, and chemical analyses. However, its effective…
cs.LG2025
Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks
Phillip Rothenbeck, Sai Karthikeya Vemuri, Niklas Penzel +1
The COVID-19 pandemic has highlighted the need for quantitative modeling and analysis to understand real-world disease dynamics. In particular, post hoc analyses using compartmenta…
cs.LG2025
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler
Implicit Neural Representations (INRs) model signals as continuous, differentiable functions. However, monolithic INRs scale poorly with data dimensionality, leading to excessive t…