Squall: Scalable Real-time Analytics using Efficient, Skew-resilient Join Operators

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Squall: Scalable Real-time Analytics using Efficient, Skew-resilient Join Operators

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Assessment of the Lightning Performance of overhead distribution lines based on Lightning Location Systems data

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Efficient Massively Parallel Join Optimization for Large Queries

Distributionally Robust Linear Quadratic Control

Peak Value-at-Risk Estimation for Stochastic Differential Equations using Occupation Measures

Dalton: Learned Partitioning for Distributed Data Streams

Robust discrete choice models with t-distributed kernel errors

Towards Robust Vision Transformer

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

Memory of Motion for Initializing Optimization in Robotics

Regularized Diffusion Adaptation via Conjugate Smoothing