research
∙
04/27/2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention
Scientific Machine Learning (SciML) is concerned with the development of...
share
research
∙
02/28/2023
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming
Bilevel Optimization Programming is used to model complex and conflictin...
research
∙
10/13/2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
Machine learning-based modeling of physical systems has experienced incr...
research
∙
07/10/2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions
With Human-Centric Research (HCR) we can steer research activities so th...
research
∙
05/31/2022
Principle of Relevant Information for Graph Sparsification
Graph sparsification aims to reduce the number of edges of a graph while...
research
∙
10/12/2021
Gated Information Bottleneck for Generalization in Sequential Environments
Deep neural networks suffer from poor generalization to unseen environme...
research
∙
01/25/2021
Measuring Dependence with Matrix-based Entropy Functional
Measuring the dependence of data plays a central role in statistics and ...
research
∙
11/02/2020
Modular-Relatedness for Continual Learning
In this paper, we propose a continual learning (CL) technique that is be...
research
∙
09/11/2020
Learning an Interpretable Graph Structure in Multi-Task Learning
We present a novel methodology to jointly perform multi-task learning an...
research
∙
09/11/2020
Towards Interpretable Multi-Task Learning Using Bilevel Programming
Interpretable Multi-Task Learning can be expressed as learning a sparse ...
research
∙
05/05/2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
We propose a simple yet powerful test statistic to quantify the discrepa...
research
∙
11/14/2018
