Physics-Data-An
Understanding how both the partitions of a bipartite network affect its one-mode projection
Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopy
What do we see when we look at networks
Estimating quantities conserved by virtue of scale invariance in timeseries
A machine learning framework for computationally expensive transient models
Proceedings of the 2011 New York Workshop on Computer, Earth and Space Science
Collective Animal Behavior from Bayesian Estimation and Probability Matching
Automatic anomaly detection in high energy collider data
Forecasting solar radiation during dust storms using deep learning
A network biology-based approach to evaluating the effect of environmental contaminants on human interactome and diseases
Exact recording of Metropolis-Hastings-class Monte Carlo simulations using one bit per sample
Evolution of scaling emergence in large-scale spatial epidemic spreading
Unfolding network communities by combining defensive and offensive label propagation
Molecular Brightness analysis of GPCR oligomerization in the presence of spatial heterogeneity
Accelerating Neutron Scattering Data Collection and Experiments Using AI Deep Super-Resolution Learning
Improved Constraints on Isotropic Shift and Anisotropies of the Speed of Light using Rotating Cryogenic Sapphire Oscillators
The many faces of deep learning
Nested structure acquired through simple evolutionary process
Law of the leading digits and the ideological struggle for numbers
Predicting catastrophes in nonlinear dynamical systems by compressive sensing
Quantum Analogical Modeling with Homogeneous Pointers
Interplay between positive feedbacks in the generalized CEV process
