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Ridham Patel

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#machine learning Preprint Oct 2026

Exact SO(3)-Equivariant Isotropic Kernels for Rotation-Robust Neural Dynamics

Neural surrogates for vector-valued partial differential equations can fit training data yet change their predictions when the same physical state is expressed in a rotated coordinate frame. We study this failure on three-dimensional Navier--Stokes dynamics observed at irregularly placed points. We introduce the Invari...

Ridham Patel · 0 citations
#machine learning Preprint Oct 2026

The Symbol of the Surrogate: Measuring Numerical Provenance in Neural PDE Solvers

Neural PDE surrogates are trained on numerical solver outputs that contain both physical evolution and solver-specific discretization errors. Because surrogates are also evaluated against held-out trajectories from the same solver, standard benchmarks cannot distinguish fidelity to the exact evolution from imitation of...

Ridham Patel · 0 citations
#machine learning Preprint Sep 2026

Towards Robust Classroom Attendance: A Comprehensive Evaluation of Face Detection and Recognition Models

A new face detection and recognition dataset, the Visage Face dataset, comprising 16,234 face samples, is proposed, showing that the Visage Face Dataset is a realistic and challenging benchmark for face recognition in classroom attendance.

Himani Trivedi, Hiren B. Patel, Ridham Patel et al. · 0 citations

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