82 citations · 926 across the 70 of their papers we have counts for
6 papers · 1 filter
A Scalable Algorithm for Active Learning
Youguang Chen, Zheyu Wen, George Biros
FIRAL is a recently proposed deterministic active learning algorithm for multiclass classification using logistic regression. It was shown to outperform the state-of-the-art in ter…
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
Youguang Chen, George Biros
We investigate theory and algorithms for pool-based active learning for multiclass classification using multinomial logistic regression. Using finite sample analysis, we prove that…
A fast solver for the spatially homogeneous electron Boltzmann equation
Milinda Fernando, Daniil Bochkov, James Almgren-Bell +5
We present a numerical method for the velocity-space, spatially homogeneous, collisional Boltzmann equation for electron transport in low-temperature plasma (LTP) conditions. Model…
Inverse Problem Regularization for 3D Multi-Species Tumor Growth Models
Ali Ghafouri, George Biros
We present a multi-species partial differential equation (PDE) model for tumor growth and a an algorithm for calibrating the model from magnetic resonance imaging (MRI) scans. The…
A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer disease
Zheyu Wen, Ali Ghafouri, George Biros
We propose a method that uses a two-species ordinary differential equation (ODE) model to characterize misfolded tau (or simply tau) protein spreading in Alzheimer's disease (AD) a…
GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure
Yigong Qin, Stephen DeWitt, Balasubramaniam Radhakrishnan +1
We propose GrainGNN, a surrogate model for the evolution of polycrystalline grain structure under rapid solidification conditions in metal additive manufacturing. High fidelity sim…