research
∙
05/05/2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
Accurate forecasting of extreme values in time series is critical due to...
share
research
∙
05/02/2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
Normalizing flows, a popular class of deep generative models, often fail...
research
∙
02/12/2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Training deep neural models in the presence of corrupted supervision is ...
research
∙
10/07/2020
Fairness Perception from a Network-Centric Perspective
Algorithmic fairness is a major concern in recent years as the influence...
research
∙
05/21/2019