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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...
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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...
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02/12/2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Training deep neural models in the presence of corrupted supervision is ...
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10/07/2020
Fairness Perception from a Network-Centric Perspective
Algorithmic fairness is a major concern in recent years as the influence...
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05/21/2019
