Publications

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Benjamin Hilprecht; Kristian Kersting; Carsten Binnig
SPARE: A Single-Pass Neural Model for Relational Databases
In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2310.13581, Pages 0-10, arXiv, 2023.
Björn Deiseroth; Mayukh Deb; Samuel Weinbach; Manuel Brack; Patrick Schramowski; Kristian Kersting
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
In: Thirty-seventh Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2023.
Marco Bellagente; Manuel Brack; Hannah Benita Teufel; Felix Friedrich; Björn Deiseroth; Constantin Eichenberg; Andrew Dai; Robert John Nicholas Baldock; Souradeep Nanda; Koen Oostermeijer; Andres Felipe Cruz-Salinas; Patrick Schramowski; Kristian Kersting; Samuel Weinbach
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
In: Thirty-seventh Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2023.
Mina Ameli; Viktor Pfanschilling; Anar Amirli; Wolfgang Maaß; Kristian Kersting
Unsupervised Multi-Sensor Anomaly Localization with Explainable AI
In: Proceedings of AIAI 2022. International Conference on Artificial Intelligence Applications and Innovations (AIAI-2022), June 17-20, Crete, Greece, …
Parisa Kordjamshidi; Dan Roth; Kristian Kersting
Declarative Learning-Based Programming as an Interface to AI Systems
In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.
Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting
Large pre-trained language models contain human-like biases of what is right and wrong to do
In: Nature Machine Intelligence, Vol. 4, No. 3, Pages 258-268, Springer, 2022.
Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser
User-Level Label Leakage from Gradients in Federated Learning
In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.
Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs
In: Martin Michalowski; Syed Sibte Raza Abidi; Samina Abidi (Hrsg.). Artificial Intelligence in Medicine - 20th International Conference on Artificial …
Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2022), …
Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM …