For a uniform random Boolean function on p bits, its low-degree Fourier coefficients uniquely determine it with high probability precisely when d exceeds p/2 by an O(sqrt(p log p)) window.
Probability inequalities for sums of bounded random variables
8 Pith papers cite this work. Polarity classification is still indexing.
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citation-polarity summary
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2026 8roles
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Rigorous security proofs for variable-length QKD, phase-error bounding with imperfect detectors, marginal-constrained entropy accumulation, and authentication reductions place practical QKD on firmer mathematical ground.
S2-WEF detects dynamic free-riders in federated learning by simulating attack WEF patterns from prior global models, combining them with mutual deviation scores, and using two-dimensional clustering without proxy data or pre-training.
STE is a differentiable method to compute continuous analogues of the Top Cycle and Uncovered Set from pairwise comparison data for stable set-valued evaluation of cyclic agent interactions.
SVAR-FM uses simulator clamping to produce interventional distributions and flow matching to identify time series causal structures, with an error bound that predicts sign reversal of causal effects below a simulator accuracy threshold.
Arqon delivers reliable quantum network service via admission control and scheduling that satisfies defined reliability requirements for accepted demands in static topologies, with O(k^3) and O(N^3) complexity.
NPAP is a Python package built on NetworkX that supplies 13 partitioning strategies and two aggregation profiles for network graph reduction via a strategy pattern allowing custom extensions.
An unsupervised-to-supervised ML pipeline on UK NDNS data discovers four dietary patterns, reproduces them with macro-F1 0.963 using a surrogate classifier, and interprets them via SHAP for potential clinical use.
citing papers explorer
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Low-Degree Fourier Threshold for Random Boolean Functions
For a uniform random Boolean function on p bits, its low-degree Fourier coefficients uniquely determine it with high probability precisely when d exceeds p/2 by an O(sqrt(p log p)) window.
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Rigorous Security Proofs for Practical Quantum Key Distribution
Rigorous security proofs for variable-length QKD, phase-error bounding with imperfect detectors, marginal-constrained entropy accumulation, and authentication reductions place practical QKD on firmer mathematical ground.
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Dynamic Free-Rider Detection in Federated Learning via Simulated Attack Patterns
S2-WEF detects dynamic free-riders in federated learning by simulating attack WEF patterns from prior global models, combining them with mutual deviation scores, and using two-dimensional clustering without proxy data or pre-training.
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Soft Tournament Equilibrium
STE is a differentiable method to compute continuous analogues of the Top Cycle and Uncovered Set from pairwise comparison data for stable set-valued evaluation of cyclic agent interactions.
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Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions
SVAR-FM uses simulator clamping to produce interventional distributions and flow matching to identify time series causal structures, with an error bound that predicts sign reversal of causal effects below a simulator accuracy threshold.
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Arqon: A suite of control applications enabling a reliable quantum network
Arqon delivers reliable quantum network service via admission control and scheduling that satisfies defined reliability requirements for accepted demands in static topologies, with O(k^3) and O(N^3) complexity.
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NPAP: Network Partitioning and Aggregation Package for Python
NPAP is a Python package built on NetworkX that supplies 13 partitioning strategies and two aggregation profiles for network graph reduction via a strategy pattern allowing custom extensions.
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An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data
An unsupervised-to-supervised ML pipeline on UK NDNS data discovers four dietary patterns, reproduces them with macro-F1 0.963 using a surrogate classifier, and interprets them via SHAP for potential clinical use.