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Siqi Na

1 articles · 1 co-authors · latest: 2026-07-16
58 citations · h-index 3 · 7 papersData: Semantic Scholar
Tadashi Wadayama

We have retold 1 papers by this author. most often about: signal processing, Weakly Supervised Learning, self-supervised learning. 1 co-authors across our retellings.

adaptive optics · ai self correction · autoregressive model · bayesian hierarchical model · Bayesian inference · benchmark · credible interval · genetic algorithm · gibbs sampling · labeled data · least squares fitting · maximum likelihood · nested sampling · parameter · parameter fitting · posterior distribution · self-supervised learning · support vector machine · symbolic regression · Variational Method
second law of thermodynamics · Bekenstein-Hawking entropy · Boltzmann distribution · first law of thermodynamics · AdS/CFT correspondence · holographic principle · fluctuation-dissipation theorem · law of conservation of energy · zeroth law of thermodynamics · third law of thermodynamics · Landauer's principle · Lindblad equation · Carnot's theorem · Hawking area theorem · Fokker–Planck equation · Boltzmann equation · equipartition theorem · principle of maximum entropy · ergodic theorem · Liouville's theorem
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Signal Processing2026-07-161 minarXiv:2607.14597express
Self-Taught Algorithm: How to Hear a Melody from Noise
Reconstructing a full picture from fragments is like discerning an orchestra's melody in a noisy hall. Such challenges arise in photometry, where a star's brightness is recovered from faint twinkling. Traditional methods need precise noise information, which is almost always unknown.
Siqi Na·Tadashi Wadayama
Isaac NewtonLeonhard EulerJoseph Fouriersignal processingWeakly Supervised Learningself-supervised learningentropy
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