Author

A. EshwarR

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Preprint Sep 2026

PhysSAE: Mechanistic Interpretability of PINNs with Sparse Autoencoders

PhysSAE, a mechanistic interpretability framework that trains overcomplete sparse autoencoders (SAEs) on PINN penultimate-layer activations and evaluates dictionary atoms through direct causal intervention in the original frozen hidden state, is presented.

Nandita N. Patil, A. EshwarR, G. Honnavar · 0 citations

Review Jul 2026

Symbolic Weak-form Recovery of 2-D Stochastic Generators

WG-SINDy estimator, a WG-SINDy estimator combining covariance-shaped spatial kernels, a ridge-stabilized local-polynomial projection, adaptive-LASSO/STLSQ selection, one in-sample per-component feasible diagonal GLS pass, and a PSD projection--Cholesky read-out with mild isotropic shrinkage is studied.

Sai Sathvik Gullipalli, A. EshwarR · arXiv.org · 0 citations