Author

Anima Anandkumar

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#artificial intelligence May 2025

EquiReg: Equivariance Regularized Diffusion for Inverse Problems

EquiReg formalizes manifold-preferential equivariant functions that exhibit low equivariance error for on-manifold samples and high error for off-manifold ones, thereby guiding sampling toward symmetry-preserving regions of the solution space.

Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi et al. · arXiv.org · 4 citations

#artificial intelligence Preprint Aug 2026

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

Method is introduced, which augments SOAP-style preconditioning with a scalar secant-energy correction adapted to Kronecker geometry and an adaptive basis update followed by variance-state downscaling, and is positioned as a scalable option for stiff, high-accuracy physics-informed training, rather than a uniform repla...

Guang-Yuan Wang, Mads Toftrup, Sebastian Loeschcke et al. · 0 citations

Preprint Aug 2026

Inverse Design of Quantum Control Sequences with Fourier Neural Operators

The results show that operator-learning surrogates can enable inverse design in quantum systems whose Hilbert spaces are too large for conventional direct optimization and enable inverse design in quantum systems whose Hilbert spaces are too large for conventional direct optimization.

A. Pipi, Valentin Duruisseaux, Emily M. Been et al. · 0 citations