6 papers
PhysSAE: Mechanistic Interpretability of PINNs with Sparse Autoencoders
Nandita N. Patil, Eshwar R. A., Gajanan V. Honnavar
Physics-Informed Neural Networks (PINNs) embed PDE residuals into neural network training, but their internal representations remain opaque: it is unknown what physical features th…
Weak Form Recovery of Heston Type Stochastic Dynamics
Sai Sathvik Gullipalli, Eshwar R A, Gajanan V. Honnavar
Estimating the coupled drift, diffusion, and leverage structure of a stochastic-volatility model directly from a price path is an unresolved inverse problem: Kramers--Moyal increme…
Weak-Form Recovery of Stochastic Generators
Eshwar R A, Gajanan V. Honnavar
Data-driven discovery of governing equations is well developed for deterministic systems but much less so for stochastic ones. We present a sparse-symbolic algorithm that recovers…
Yukthi Opus: A Multi-Chain Hybrid Metaheuristic for Large-Scale NP-Hard Optimization
SB Danush Vikraman, Hannah Abigail, Prasanna Kesavraj +1
We present Yukthi Opus (YO), a multi-chain hybrid metaheuristic designed for NP-hard optimization under explicit evaluation budget constraints. YO integrates three complementary me…
Observation of Mixed Alkali Like Behaviour by Fluorine Ion in Mixed Alkali Oxyfluro Vanadate Glasses: Analysis from Conductivity Measurements
Gajanan V Honnavar, Vaibhav Varade, Parul Goel +1
In this communication we report the fluorine ion dynamics in mixed alkali oxyfluro vanadate glasses. We have measured the electrical conductivity using impedance spectroscopy techn…
Effect of molar volume on the interaction between mobile ions in mixed alkali oxyfluoro vanadate glasses: An Electrical modulus analysis
Gajanan V Honnavar
Electrical modulus analysis of the frequency dependent conductivity data over the range from 100 Hz to 10 MHz and at temperature range of 140 oC to 300 oC were carried out on the m…