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Every paper Pith has read. Search by title, abstract, or pith.
314 papers in physics.data-an · page 1
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KANs match MLPs on airfoil pressure prediction with less complexity
Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs
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Poisson process yields Gamma law for Collatz upward phases
Emergence of Gamma-Type Upward-Phase Statistics in the Collatz Map: An Effective Poisson Process Mechanism
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Monotonic Bayesian learner maps saturation curves in seven measurements
Shape-Constrained Bayesian Active Learning of Self-Limiting Saturation Curves
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ML models in physics face the same questions as classical ones
Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics
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GPU optimizer recovers every mode on 42 functions to dimension 64
\chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation
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Brownian motion sets recurrence thresholds for multiscale climate data
Wasserstein recurrence networks for multiscale time series pattern analysis
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Bayesian unfolding recovers gamma-ray spectra with uncertainties
Empirical-Bayes Unfolding of $\gamma$-ray Spectra
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Clustering assigns new cytokine profiles to inflammatory groups in cNORSE
Graph-based analysis of inflammatory profiles in New Onset Refractory Status Epilepticus (NORSE)
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IQP circuits trade optimization performance against circuit connectivity
Discovery of connectivity-trainability trade-off of IQP Circuits for Hamiltonian Optimization
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Machine learning reshapes search for life beyond Earth
Astrobiology in the Time of Artificial Intelligence
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Symbolic transforms flatten Fisher info to cut simulations 10x
The Degeneracy Distillery
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Petz map performs gradient ascent on tomography likelihood
Connecting Quantum Tomography and Quantum Retrodiction
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Rotational invariants yield 3D images of aerosolized viruses
Imaging aerosolized viruses with an X-ray free-electron laser using single-particle rotational invariants
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Method spots where physics breaks and recovers the exact missing equation
Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy
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OASIS reweights priors to match observed data distributions after embedding measurement ef
OASIS: Observation-Aware Simulation-Based Inference via Distributional Matching
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Method extracts geometric phase from noisy sperm and nematode data
Data-driven geometric phase in biological locomotion
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Crypto returns mapped to 13x13 spin lattice show ferromagnetic order
The Market Crystal: A Spin-Lattice Model for Collective Cryptocurrency States
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Composite network ratings predict football standings more accurately
Ranking football teams via the higher-order decomposition of performance networks
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Equivariant jet taggers zero out pseudorapidity and encode mass
What Do Lorentz-Equivariant Jet Taggers Learn?
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Identical particles either hide distinguishability or have only trivial common causes
Common causes for quantum identical particles
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Physics lens ties scaling laws to deep learning generalization
Statistical Properties of Training & Generalization
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Trends drive rising volatility and correlations
Trends, Volatility, Correlations, and Critical Phenomena in Financial Markets
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Bayesian design optimizes sampling after marginalizing linear parameters
Optimal and Adaptive Bayesian Sampling for Non-Linear Parameter Estimation under White Noise
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AI agents fuse multi-modal radiographic data for faster analysis
PiMiX 2.0: AI-enhanced Data Fusion for Radiographic Imaging and Tomography
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Sign error inverted US east-west axis in circadian health study
Methodological guidelines for circadian modeling of Daylight Saving Time: application to the United States
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AI reasoning yields two new dark-energy equations of state
Physics-guided discovery of dynamical dark-energy equations of state through iterative AI reasoning
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Hyperstatistics models Brownian motion and brain dynamics
A few remarks on hyperstatistics and some applications
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Atlantic gradient index shows wider nonlinear scaling than regional SST
Multifractal Dynamics of Tropical Atlantic SST Indices: Nonlinear Scaling Structure and Episodic Statistical Association with ENSO Variability
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Multi-scale entropy uncovers cosmic-ray effect on oscillator noise
A Search for Effects of Cosmic Rays with Multi-scale Entropy Metrics
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Mean-field equations track staged CoT learning in solvable transformer
Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model
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Brody exponent recalibrated to quantify 2D exclusion
Calibrating the Brody exponent as a quantitative measure of short-range exclusion in 2D spatial point processes
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Symmetry fingerprints flag 2D magnets with competing phases
Symmetry-electronic fingerprints reveal competing magnetic phases in two-dimensional materials
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Feature library recovers parameters from time series data
Interpretable model-free inference of parametric variation across time-series data through large-scale feature extraction
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QFT couplings of order one often differ by factors above 100
The Fundaments of Unity: ${\mathcal O}(1)$ Couplings in Quantum Field Theories
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Python tool recovers PALS lifetimes from synthetic spectra
fitPALSpectra: Python fitting of positron annihilation lifetime spectra
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Diffusion-first SDE matches wind forecast accuracy while running seven times faster
Weibull-Stationary Stochastic Differential Equations for Conditional Long-Horizon Wind Power Forecasting
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Perron-Frobenius theorem extended to complex-weighted networks
Generalizing Perron--Frobenius theory and eigenvector-based centralities to networks with complex edge weights
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Multifractal spectra flag chaotic tumbling in Hyperion
Multifractal Signatures of Hamiltonian Chaos in Hyperion's Rotational Dynamics
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Masked regression separates local and distributed signals in EEG
Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings
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One sensor inside a rolling tire maps its vibration modes
Virtual-Array Operational Modal Analysis of Rolling Tires Using a Single Tire Cavity Accelerometer
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Relative belief intervals achieve confidence levels in Poisson signal detection
Confidence, Statistical Evidence and Relative Belief with Applications to a Problem in Particle Physics
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Full-spectrum readout selection plus L1/L2 cuts overfitting in physical reservoirs
Effective Training Principles of Physical Reservoirs
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Neural ensembles produce only closed covariances
Integrating Out, Twice:The Open-System Case That Neural-Network Ensemble Theory Is Missing
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Agents form swarms by minimizing information under promises
Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents
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Cycle space extracts recurrent patterns from directed interactions
Vector Space of Cycles
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ML-FTLE combines divergence and Poincare grids for chaos tracking
Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series
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Reweighting networks unfold without support overlap
Reweighting Adversarial Networks for Unbinned Unfolding
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Unified schema turns QCD detector data AI-ready across technologies
Design Principles for AI-Ready QCD Data with a Barrel Imaging Calorimeter Application
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New criterion ranks multi-GP models by RV fit alone
A Model Selection Criterion for Multidimensional Gaussian Processes: Application to Radial Velocities
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Method fixes bias in Lambda polarization from asymmetric detectors
A practical methodology for $\Lambda$ global polarization extraction in fixed-target experiments