The MDEA model admits tight 1/ℓ-approximations for simultaneous USW and ESW efficiency across ℓ dimensions with NP-hardness for exact simultaneous optimization even with binary valuations, plus characterizations of three multidimensional Pareto notions.
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Abbottet al., Physical Review D99(2019), 10.1103/physrevd.99.123505
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LightGBM models on citation and diversity features predict exogenous diffusion of quantum computing concepts with R² up to 0.78 while endogenous reinforcement remains largely unpredictable after growth controls, with replications in other fields.
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NEB-adapted ravine ensembles for QNNs classifying concentratable entanglement outperform naive methods when local-prediction variability is high and reduce costs, with ravines persisting under depth and qubit scaling.
Physics-conforming Latent Twins learns encoder-decoder pairs and latent flow maps that satisfy physical principles by design via constraint transfer and algebraic conditions on invariants and dissipation.
A two-stage LightGBM model on 59 features from concept networks forecasts link formation and intensity with ROC-AUC 0.95-0.967 across domains.
Gaussian process regression enables implicit multi-camera calibration by learning 2D-to-3D mappings with built-in uncertainty and active learning for efficient data use.
HEaD+ detects object hallucinations early in diffusion generation via cross-attention maps, text, and a Predicted Final Image, raising complete image rates by 6-8% for four-object prompts and reducing time by up to 32%.
A monolithic bow-tie cavity with finesse 5.7e4 is realized for homogeneous coupling to Sr atoms at 689 nm, projected to enable up to 28 dB spin squeezing for quantum-enhanced interferometry.
A new tail dependence measure for linear processes with regularly varying distributions is introduced, incorporating persistence effects and validated via simulations and cryptocurrency data analysis.
MCBP detects boundaries by computing discrete mean curvature from k-nearest neighbor patches on the data manifold, then decomposes data into low-curvature smooth and high-curvature boundary subsets to improve clustering.
A cascade pipeline on 400 AIE tiles evaluates gg→ttg leading-order matrix elements at 1 million per second with parts-per-million accuracy to MadGraph, delivering 34× CPU speedup and 7.7× better energy efficiency at 54.8 W.
Emulation of binned modified gravity power spectra to <1% accuracy enables MCMC forecasts that constrain μ and η via LSST large-scale structure combined with CMB lensing, with best sensitivity along the lensing combination Σ.
ProMoTA integrates process modeling with automated end-to-end traceability generation and analysis for model transformation chains in MDE, demonstrated on a wireless sensor network IoT application.
The paper identifies key unresolved questions in giant planet formation, interiors, and their role in planetary systems.
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Outstanding Questions in Giant Planet Theory
The paper identifies key unresolved questions in giant planet formation, interiors, and their role in planetary systems.