1 citations · 3 across the 21 of their papers we have counts for
5 papers · 1 filter
When Flatness Does (Not) Guarantee Adversarial Robustness
Nils Philipp Walter, Linara Adilova, Jilles Vreeken +1
Despite their empirical success, neural networks remain vulnerable to small, adversarial perturbations. A longstanding hypothesis suggests that flat minima, regions of low curvatur…
Seqret: Mining Rule Sets from Event Sequences
Aleena Siji, Joscha Cüppers, Osman Ali Mian +1
Summarizing event sequences is a key aspect of data mining. Most existing methods neglect conditional dependencies and focus on discovering sequential patterns only. In this paper,…
Hidden in Plain Sight -- Class Competition Focuses Attribution Maps
Nils Philipp Walter, Jilles Vreeken, Jonas Fischer
Attribution methods reveal which input features a neural network uses for a prediction, adding transparency to their decisions. A common problem is that these attributions seem uns…
Accurately Estimating Unreported Infections using Information Theory
Jiaming Cui, Bijaya Adhikari, Arash Haddadan +4
One of the most significant challenges in combating against the spread of infectious diseases was the difficulty in estimating the true magnitude of infections. Unreported infectio…
SpaceTime: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad +1
Understanding causality is challenging and often complicated by changing causal relationships over time and across environments. Climate patterns, for example, shift over time with…