Sinusoidal Networks
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Related Articles from SNS
JA-SIREN: Deterministic Initialization for Sinusoidal Networks via Spectral Matching
Announce Type: new Abstract: Existing implicit neural representation (INR) approaches suffer from stochastic initialization that does not guarantee consistent or high-quality performance across runs, with variations reaching more than 2.5 dB (78%) in image regression. This variation is problematic for scientific computing and simulation, where result reproducibility is crucial. To address this problem, we present Jacobi-Anger Sinusoidal Representation Network (JA-SIREN), a deterministic...
An alternating learning-based collocation method for solving inverse elliptic problems
arXiv:2606.01622v1 Announce Type: cross Abstract: We propose the Alternating Learning-Based Collocation (ALBC) method for solving inverse elliptic problems. Our approach employs sinusoidal shallow networks as adaptive basis generators. By alternately updating the state variable and the unknown parameter, we decompose the original nonconvex joint optimization problem into a sequence of tractable linear subproblems.
An alternating learning-based collocation method for solving inverse elliptic problems
Announce Type: new Abstract: We propose the Alternating Learning-Based Collocation (ALBC) method for solving inverse elliptic problems. Our approach employs sinusoidal shallow networks as adaptive basis generators. By alternately updating the state variable and the unknown parameter, we decompose the original nonconvex joint optimization problem into a sequence of tractable linear subproblems.
Perturbative Contrastive Physical Learning
arXiv:2606.09756v1 Announce Type: new Abstract: Responses to perturbations are key to understanding physical systems. The ability to contrast such responses by comparing how a system reacts under slightly different conditions provides a mechanism for learning. Here, we introduce Perturbative Contrastive Physical Learning (PCPL), a general framework in which learning emerges from measurable contrasts between physical states produced by controlled changes to inputs, boundary conditions,...
Plane-Wave Excitation of Multi-Beam Modulated Metasurface Antennas
arXiv:2606.02222v1 Announce Type: new Abstract: This paper explores the design of multibeam metasurface (MTS) antennas excited by multi-directional plane-wave launchers. First, we solve the fundamental yet open problem of a plane surface wave (SW) that propagates obliquely to the modulation direction of a sinusoidally modulated MTS. Closed-form expressions are provided to accurately predict the beam pointing angles for any propagation direction of the illuminating plane SW and for any...