From the 1 of 5 linked papers with an AI index.
5 papers
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…
Symbolic Weak-form Recovery of 2-D Stochastic Generators
Sai Sathvik Gullipalli, Eshwar R A
The paper introduces a weak‑form SINDy estimator that combines spatial kernels, ridge‑stabilized projection, adaptive LASSO/STLSQ selection, diagonal GLS, and a positive‑semidefini…
Data-Driven Weak-form Discovery of Stochastic Systems
Eshwar R A, Gajanan V. Honnavar
We present an algorithm for learning the governing equations of a stochastic dynamical system from trajectory data. It recovers interpretable symbolic expressions for both the drif…
Action-Inspired Generative Models
Eshwar R. A., Debnath Pal
We introduce Action-Inspired Generative Models (AGMs), a dual-network generative framework motivated by the observation that existing bridge-matching methods assign uniform regress…
Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
Eshwar R. A., Nevin Mathew Thomas, Nehal G +1
Reconstructing high-fidelity fluid dynamics from sparse temporal observations is quite challenging, mainly due to the chaotic and non-linear nature of fluid transport. Standard dee…