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Stochastic Dynamics: Noise-induced Collapse and Invariance
Algorithms Design for Scalable Numerical Optimization
Nonuniform random feature models using derivative information
On a DG Method for Two-Moment Radiation Transport with Applications in Nuclear Astrophysics
Introduction to DeepHyper
Large Language Models for Time Series Forecasting
Scale-invariant Regularizations for Sparse Signal and Low-rank Tensor Recovery
Stability Analysis of the Robust Model Order Reduction Algorithm for Parametric Linear Dynamical Systems
Conditional Kinetics: A New Multiscale Framework for Kinetic Plasmas
The Score-based Filtering Framework for Nonlinear Data Assimilation
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