News

Paper accepted at KDD 2024

Our paper "Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent" has been accepted at the SIGKDD Conference on Knowledge Discovery and Data...

Warum Künstliche Intelligenz gar nicht so intelligent ist, die meisten Daten ungenutzt herum liegen und wie man bei all diesen rasanten Entwicklungen am Ball bleibt, darüber...

Auf KI basierende Bild- und Textgeneratoren produzieren digitale Werke von verblüffender Qualität, die manche Menschen beunruhigen: Wird Kunst bald automatisiert? Rudolphina...

Paper accepted at JMLR

Our paper "Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length" has been accepted at the Journal of Machine Learning Research.

MLG@ECML PKDD 2024

We are excited to announce that the 22nd International Workshop on Mining and Learning with Graphs (MLG) will again be held jointly with the ECML PKDD this September (either...

Franka presented the paper "Removing Redundancy in Graph Neural Networks" by Franka Bause, Samir Moustafa, Wilfried Gansterer, Nils M Kriege (Link:...

Mit klugen Algorithmen die Qualität von ChatGPT messen [Rudolphina]

Benjamin Roth untersucht, wie Algorithmen uns bei der Verarbeitung von großen Textmengen unterstützen können. Gemeinsam mit seinem Team entwickelt er Programme, mit denen man...

We are excited to announce that our paper "Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning" has been accepted at the European Conference on...

We are excited to announce that the paper "Posterior Consistency for Missing Data in Variational Autoencoders" has been accepted at the European Conference on Machine...

Paper accepted at KDD 2023

We are excited to announce that the paper "A Higher-Order Temporal H-Index for Evolving Networks" has been accepted at the SIGKDD Conference on Knowledge Discovery and Data...

Nils Kriege im neuen Rudolphina-Artikel über die Entwicklung von KI-Verfahren für die effiziente Suche nach Wirkstoffen in großen Datenmengen.

Paper accepted at ACM FAccT

Our paper "On the Impact of Explanations on Understanding of Algorithmic Decision-Making" has been accepted at ACM FAccT.

Community Event for Students of Learning Algorithms in Wien

Paper accepted at AAMAS

The paper "Learning Constraints From Human Stop-feedback in Reinforcement Learning" has been accepted at AAMAS.

Four papers accepted at SDM 2023

Four papers from our group have been accepted at SDM 2023.

Algorithmus, wieso tust du das? [derstandard.at]

Sebastian Tschiatschek auf derstandard.at über Konsequenzen des Einsatzes von Algorithmen in demokratischen Prozessen.

Paper accepted at LoG 2022

The paper "Gradual Weisfeiler-Leman: Slow and Steady Wins the Race" has been accepted at LoG

Paper accepted at IEEE TAI

The paper "Replication Robust Payoff Allocation in Submodular Cooperative Games" has been accepted for publication in the IEEE Transactions on Artificial Intelligence.