Danielle C. Maddix

Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility

End-to-End Probabilistic Framework for Learning with Hard Constraints

Understanding the Implicit Biases of Design Choices for Time Series Foundation Models

When Does Multimodality Lead to Better Time Series Forecasting?

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Gradient-Free Generation for Hard-Constrained Systems

DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics

AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics