archive
Every paper Pith has read. Search by title, abstract, or pith.
323 papers in physics.data-an · page 7
-
Short histories recover hidden manifold for density transport
A geometric approach to the transport of discontinuous densities
-
Symmetries turn molecular shapes into bundles and orbifolds
Topology and geometry of molecular conformational spaces and energy landscapes
-
Stability selection recovers PDEs from noisy data without tuning
Stability selection enables robust learning of partial differential equations from limited noisy data
-
Hybrid ML reproduces long transient runs at lower cost
A machine learning framework for computationally expensive transient models
-
Telescope training improves survey data interpretation
The Importance of Telescope Training in Data Interpretation
-
Perturbation theory fixes degeneracy in VAE latent spaces
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders
-
Non-experts rank fluid simulations by eye when math metrics disagree
Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System
-
Bandwidth alone predicts wave kurtosis under forcing
Single-spectrum prediction of kurtosis of water waves in a non-conservative model
-
Neural net spots monolayer MoS2 at 70% accuracy after 24-image training
Deep learning-based quality filtering of mechanically exfoliated 2D crystals
-
Machine learning identifies EIS circuit models at 78% accuracy
Equivalent Circuit Model Recognition of Electrochemical Impedance Spectroscopy via Machine Learning
-
Fractal equation fits drug release data more precisely
The use of the fractal Brouers-Sotolongo formalism to analyze the kinetics of drug release
-
Reverse greedy method identifies vital nodes more accurately
Identifying vital nodes based on reverse greedy method
-
Limit laws govern maxima and records in random sequences
Extremes and Records
-
Superdiffusion raises random-laser threshold and locks in fluctuations
Superdiffusive random laser
-
Multilayer modularity derives parameters from community structure
Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling
-
Sparse additive models match full accuracy with 15% of molecules
Designing compact training sets for data-driven molecular property prediction
-
Gas-dominated galaxies curve rightward in normalized acceleration space
Investigating Dark Matter and MOND Models with Galactic Rotation Curve Data: Analysing the Gas-Dominated Galaxies
-
Clustering groups riser VIV responses by 3D current direction
Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current
-
Removing higher SDI harmonics cuts noise in ARPES images
Second derivative analysis and alternative data filters for multi-dimensional spectroscopies: a Fourier-space perspective
-
Layer reconstruction from similar layers boosts link prediction
Link Prediction in Real-World Multiplex Networks via Layer Reconstruction Method
-
Empirical curves forecast explosion detection better than theory
Uncertainty in the Predictive Capability of Detectors that Process Waveforms from Explosions
-
Horizon visibility graphs dual to time series merge trees
Horizon Visibility Graphs and Time Series Merge Trees are Dual
-
Shot noise shows scaling in distribution
Scaling of shot noise processes
-
Reusing all MultiNest points gives 10x more accurate evidence
Importance Nested Sampling and the MultiNest Algorithm
-
Asymptotic formulae give distributions for new physics tests
Asymptotic formulae for likelihood-based tests of new physics
-
Bottleneck code extracts relevant info from signals
The information bottleneck method