
Statistical Evaluation of Anomaly Detectors for Sequences
Although precision and recall are standard performance measures for anom...
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Graph Clustering with Graph Neural Networks
Graph Neural Networks (GNNs) have achieved stateoftheart results on m...
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Differentiable Segmentation of Sequences
Segmented models are widely used to describe nonstationary sequential d...
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FREDE: LinearSpace Anytime Graph Embeddings
Lowdimensional representations, or embeddings, of a graph's nodes facil...
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Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series
Hate speech is ubiquitous on the Web. Recently, the offline causes that ...
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TwoSample Testing for Event Impacts in Time Series
In many application domains, time series are monitored to detect extreme...
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Deep SemiSupervised Anomaly Detection
Deep approaches to anomaly detection have recently shown promising resul...
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Intrinsic Multiscale Evaluation of Generative Models
Generative models are often used to sample highdimensional data points ...
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SGR: SelfSupervised Spectral Graph Representation Learning
Representing a graph as a vector is a challenging task; ideally, the rep...
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VERSE: Versatile Graph Embeddings from Similarity Measures
Embedding a webscale information network into a lowdimensional vector ...
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Emmanuel Müller
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