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Every paper Pith has read. Search by title, abstract, or pith.
109 papers in physics.data-an · page 1
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Two embeddings per hit resolve chain conflicts in track graphs
Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
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Neural net boosts neutron-gamma ID at low signals
SINAPSE: A lightweight deep learning framework for accurate and explainable neutron-$\gamma$ discrimination
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Exact stationary PDF for reflected random walks derived analytically
An analytical approach to calculating stationary PDFs for reflected random walks with an application to BESS-based ramp-rate control
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Mapped wildfire surrogates match high-fidelity PDFs at 1000x lower cost
A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
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MRF Bayesian method beats FBP in low-dose and sparse CT
Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
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LLM agent finds algorithms that beat baselines on X-ray images
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
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Regression to the Mean and Dilution Share One Root Cause
The Same Problem by Different Names: Unifying Regression Dilution and Regression to the Mean
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Hybrid method outperforms random addition in discrete search
Improving search efficiency via adaptive acquisition function selection in discrete black-box optimization
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BB plot validates Bayes factor accuracy via distribution relationship
BB plot: A Tool for Accurate Model Selection Using Bayes factors
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JSON schema lifts LLM extraction of laser structures by up to 24%
Information Extraction of Nested Complex Structure of Quantum Cascade Lasers via Large Language Models
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Five filters map MoS2 thickness to 8 nm precision
Sparse Spectral Imaging for Thickness Mapping of 3R-MoS$_2$ on PDMS
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Geometric transforms reverse STEM scan distortions
Correction of STEM Distortions
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Method reconstructs non-autonomous equations from data
Revealing dynamics of non-autonomous complex systems from data
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Spanish inflation decoupled from money supply growth after 1600
The Phase Structure of Metallic Money: An MPTT Framework for the Spanish Price Revolution
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Probabilistic model recovers cuprate spectra from 0.02-count noise
Probabilistic denoising for reliable signal extraction in spectroscopy
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Facet distributions flag selective alloys for CO2 hydrogenation
Selectivity- and Activity-Aware Catalyst Descriptors for CO$_2$ Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields
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Timepix network maps neutron and hadron backgrounds at MoEDAL
Analysis of Mixed Radiation Fields at the MoEDAL Experiment Based on Real-Time Data from a Timepix Detector Network
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PTA data fail to pick a clear winner among black-hole models
Bayesian leave-one-out cross-validation for astrophysical model comparison using gravitational-wave background data
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Bayesian regression recovers hypergraphs from noisy scarce dynamics
Bayesian hypergraph inference from scarce and noisy dynamical observations
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Sparse regression identifies initial gaps in piecewise-linear systems
Data-driven Initial Gap Identification of Piecewise-linear Systems using Sparse Regression and Universal Approximation Theorem
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Decomposition isolates synergistic causality via maximum-entropy interventions
Partial Effective Information Decomposition for Synergistic Causality
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Two coded channels capture all tilt-defocus data in fixed-detector setup
Fixed-detector tilt--defocus sensing by upstream source coding in a time-reversed Young interferometer
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Knot probability in polymer films peaks at chain-size thickness
Polymer Knots in Thin Films: Thickness Dependence, Local Effects, and Stiffness
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Neural nets detect GR deviations 33x better using response functions
Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework
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Scale-invariance fixes analogue ensemble volumes and dispersion
Structural and Lagrangian properties of analogue ensembles to characterize multifractality of stochastic processes
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The paper identifies a failure mode called slot collapse in attention models for…
When Attention Collapses: Residual Evidence Modeling for Compositional Inference
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Curvature penalties smooth KAN activations without accuracy loss
KANs need curvature: penalties for compositional smoothness
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Researchers analyzed EEG amplitude distributions from typical and ADHD children using…
Brain criticality through nonadditive entropic analysis of electroencephalograms
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The paper proposes the Visibility Graphs Relative Strength Index (VGRSI)
Visibility graphs can make money in financial markets
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Hundreds of gyrokinetic simulations map power-dependent shaping effects
High-throughput full-f gyrokinetics of the tokamak boundary
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Mutual information stays fixed in time-reversed Young interferometry
Entropic Reciprocity in Time-Reversed Young Interferometry
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Workbench links weather embeddings to physical data for event retrieval
Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration
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FitED is a Python desktop application that provides an interactive GUI and numerical…
FitED: A User-Centric, Extensible Software Environment for Robust Peak-Profile and General Functional Data Fitting
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Clustering fits parabolic models to count tracks in ionograms
Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms
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Copula transform lifts ensemble to 0.96 accuracy on groundwater pollution
Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution
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Unsupervised ML flags high-risk soil metal anomalies at Ghana sites
Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment
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Physics-informed experts transfer emission models across 13 plants
Advancing multi-site emission control: A physics-informed transfer learning framework with mixture of experts for carbon-pollutant synergy
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Bayesian method infers nucleic acid motif rates from ligation data
Bayesian Rate Inference for Sequence Motif Dynamics in Systems of Reactive Nucleic Acids
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Astrocytic gains create self-attention in memory networks
Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics
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Joint sensor geometry and policy design beats baselines by 123x
Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference
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DySIB recovers pendulum phase space from video data
Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
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Reserve absorption mutes Japan's base expansions
A phase transition in monetary function explains expansion without inflation
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Turbulence cascade memory triples beyond Markov estimate
Intermittency-Driven Turbulence Cascade Memory Extends the Markov-Einstein Coherence Length Beyond the Canonical Estimate
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Quiet-Sun ratio reads as KL divergence gap between Maxwellians
Diagnostic Disagreement as an Information-Projection Divergence: An Information-Theoretic Reading of the Quiet-Sun Temperature Ratio
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Bayesian method recovers phase equations from traveling pattern data
Data-driven reconstruction of spatiotemporal phase dynamics for traveling and oscillating patterns via Bayesian inference
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Phase signals in density of states pinpoint optimal tempered posteriors
Using Statistical Mechanics to Improve Real-World Bayesian Inference: A New Method Combining Tempered Posteriors and Wang-Landau Sampling
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ArchGEM traces LIGO scattered-light arches to surfaces moving at 0.2-0.5 μm/s
ArchGEM: an Advanced Data Analysis Tool for Analyzing Scattered Light Noise in LIGO
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Physics-informed U-Net cuts fluid interpolation error by over 80 percent
Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
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Enlarged replica symmetry fixes Ising measurement exponent
Bayesian phase transition for the critical Ising model: Enlarged replica symmetry in the epsilon expansion and in 2D
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Boundary-aware FFTs compute local stats on incomplete grids
Spectral-Domain Local Statistics with Missing-Data Support for Cartesian and Polar Grids