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On distributional autoregression and iterated transportation

Sparse autoregressive neural networks for classical spin systems

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Euclid: The search for primordial features

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Disentangling Thermal from Electronic Contributions in the Spectral Response of Photoexcited Perovskite Materials

Transportation-based functional ANOVA and PCA for covariance operators

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?