research
∙
08/10/2023
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection
We aim at providing the object detection community with an efficient and...
share
research
∙
01/27/2023
Reduced-Order Autodifferentiable Ensemble Kalman Filters
This paper introduces a computational framework to reconstruct and forec...
research
∙
12/05/2021
Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements
Purpose: This study aims to develop a novel approach to extracting and m...
research
∙
07/16/2021
Auto-differentiable Ensemble Kalman Filters
Data assimilation is concerned with sequentially estimating a temporally...
research
∙
10/26/2020
Iterative Ensemble Kalman Methods: A Unified Perspective with Some New Variants
This paper provides a unified perspective of iterative ensemble Kalman m...
research
∙
03/18/2020
Data-Driven Forward Discretizations for Bayesian Inversion
This paper suggests a framework for the learning of discretizations of e...
research
∙
07/23/2019
An upper bound on the dimension of the voting system of the European Union Council under the Lisbon rules
The voting rules of the European Council (EU) under the Treaty of Lisbon...
research
∙
05/16/2019
