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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
Enabling Material Discovery: Harnessing Multimodal Machine Learning Algorithms for Inverse Design
Model Reduction Techniques for Large-scale PDE Data Compression
Sparse-grid Discontinuous Galerkin Methods for the Vlasov–Poisson–Lenard–Bernstein Model
Some Aspects of Nonlinear Dynamical Systems: From Synchronization of Nonequilibrium Bose-Einstein Condensates to Predicting Climate Response using a Koopman Eperator Formalism
Learning Nonlocal Operators for Material Modeling
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