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Every paper Pith has read. Search by title, abstract, or pith.
321 papers in physics.data-an · page 6
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Inner-outer scaling captures wall-pressure spectrum growth
Two-component inner--outer scaling model for the wall-pressure spectrum at high Reynolds number
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Joint covariances detect shared signals at weaker strengths
Better Together: Cross and Joint Covariances Enhance Signal Detectability in Undersampled Data
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QGANs produce financial time series matching distributions and correlations
Quantum generative modeling for financial time series with temporal correlations
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Generative model uncovers hidden heat risks for vulnerable nations
Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling
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Linear acceleration drives football concussion risk more than rotation
Linear Acceleration Is a Primary Risk Factor for Concussion and a Target for Prevention
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Neural inference nears optimal sensitivity for Higgs self-coupling
Neural simulation-based inference of the Higgs trilinear self-coupling via off-shell Higgs production
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Neural network covariance cleaning beats shrinkage for min-variance portfolios
End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
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Dimensional crossover detects signals below BBP threshold
Functional Renormalization for Signal Detection: Dimensional Analysis and Dimensional Phase Transition for Nearly Continuous Spectra Effective Field Theory
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Radar classifier auto-groups signals into 14 stable classes
Self-learning signal classifier for decameter coherent scatter radars
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Division history shows glc3 mostly inactive under stress
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
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Street averages capture full urban climate variability
Scaling intra-urban climate fluctuations
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Exact MFPT formula found for resetting diffusion on lattices
Diffusion with stochastic resetting on a lattice
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Initial data point dictates resilience indicator agreement
The influence of data gaps and outliers on resilience indicators
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Interpretability in science requires mechanism insight
On the definition and importance of interpretability in scientific machine learning
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Neural scaling removes negative Monte Carlo weights
Stay Positive: Neural Refinement of Sample Weights
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Structural subspace explains azobenzene spectrum variation
Structural Decomposition of UV--Visible Spectral Variation: Azobenzene in Ethanol Solution
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Ant colony optimization cuts density functional error to 0.8%
Ant Colony Optimization for Density Functionals in Strongly Correlated Systems
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Mixed agent policies speed odor-source search in turbulence
Policy heterogeneity improves collective olfactory search in 3-D turbulence
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ZrO2 ceramic meets metal rules but shows 137°C hysteresis
Composition Design of Shape Memory Ceramics based on Gaussian Processes
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Maximum likelihood recovers burst-merging kernel from time series
Maximum likelihood estimation of burst-merging kernels for bursty time series
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Arctic sea ice shapes eastern US winter ozone via jet streams
Arctic teleconnection on climate and ozone pollution in the polar jet stream path of eastern US
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Raw events analyzed directly give better scattering parameters
Probabilistic Analysis of Event-Mode Experimental Data
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Exact inferences from noisy collider simulations
Bring the noise: exact inference from noisy simulations in collider physics
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US cities accommodate singles
The parenthood effect in urban mobility
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Power laws hold for conflict lulls even at second-scale data
The distribution of violent event and interevent times in conflicts
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Heterogeneity complicates network renormalization
Network Renormalization
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Gap filled in longest polar motion record
Filling the gap in the IERS C01 polar motion series in 1858.9-1860.9
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Criterion selects data to learn only parameters needed for predictions
An information-matching approach to optimal experimental design and active learning
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Bayesian symmetry method cuts quantum measurement variance fivefold
Adaptive, symmetry-informed Bayesian metrology for precise quantum technology measurements
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Physics equations follow exponential decay on operator frequency
Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature
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Early brokerage raises later involvement in physics networks
Cumulative Advantage of Brokerage in Academia
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Binless integration estimates densities from neighbor differences
Density Estimation via Binless Multidimensional Integration
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Closed-form moments replace sigma points after ownship turn
An insightful approach to bearings-only tracking in log-polar coordinates
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Farthest sampling boosts ML accuracy on small chemical datasets
Farthest Point Sampling in Property Designated Chemical Feature Space as a General Strategy for Enhancing the Machine Learning Model Performance for Small Scale Chemical Dataset
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Langevin coefficients map to probability moments beyond Gaussian cases
Second- and third-order properties of multidimensional Langevin equations
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Genetic algorithm fits Laue oscillations from thin film X-ray data
GenL: An extensible fitting program for Laue oscillations and whole pattern fitting
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KATRIN reduces molecular final-state uncertainty to 0.0013 eV²/c⁴
Improved treatment of the $T_2$ molecular final-states uncertainties for the KATRIN neutrino-mass measurement
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Evolutionary search recovers scientific equations from data
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
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This paper applies adversarial training to deep neural networks for jet flavor tagging in…
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
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Axiom from uniform data selects Rényi entropy
Learn your entropy from informative data: an axiom ensuring the consistent identification of generalized entropies
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Graph nets predict grid stability from wiring alone
Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks
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Diamond spins detect audio anomalies in quantum states at 15% error
Quantum Anomaly Detection with a Spin Processor in Diamond
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GetDist automates density estimation for weighted MCMC samples
GetDist: a Python package for analysing Monte Carlo samples
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New grid splits sphere into equal-area cells with uniform rings
A new equal-area isolatitudinal grid on a spherical surface
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Reorganized HEPData schema enables OLAP multidimensional queries
Towards enhanced databases for High Energy Physics
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MR plus biopsies maps IDH1 and MGMT across brain tumors
Statistical multiscale mapping of IDH1, MGMT, and microvascular proliferation in human brain tumors from multiparametric MR and spatially-registered core biopsy
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Brightness analysis measures GPCR clusters despite uneven membranes
Molecular Brightness analysis of GPCR oligomerization in the presence of spatial heterogeneity
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Poisson method corrects coverage for limited simulation samples
Tackling limited simulation and small signals
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Short histories recover hidden manifold for density transport
A geometric approach to the transport of discontinuous densities
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Symmetries turn molecular shapes into bundles and orbifolds
Topology and geometry of molecular conformational spaces and energy landscapes