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Yan Scholten
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2020 – today
- 2024
- [i7]Yan Scholten, Stephan Günnemann, Leo Schwinn:
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models. CoRR abs/2410.03523 (2024) - [i6]Yan Scholten, Stephan Günnemann:
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning. CoRR abs/2410.09878 (2024) - 2023
- [c6]Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann:
Hierarchical Randomized Smoothing. NeurIPS 2023 - [c5]Jan Schuchardt, Yan Scholten, Stephan Günnemann:
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. NeurIPS 2023 - [i5]Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann:
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. CoRR abs/2301.02039 (2023) - [i4]Francesco Campi, Lukas Gosch, Tom Wollschläger, Yan Scholten, Stephan Günnemann:
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness. CoRR abs/2308.08173 (2023) - [i3]Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann:
Assessing Robustness via Score-Based Adversarial Image Generation. CoRR abs/2310.04285 (2023) - [i2]Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann:
Hierarchical Randomized Smoothing. CoRR abs/2310.16221 (2023) - [i1]Jan Schuchardt, Yan Scholten, Stephan Günnemann:
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More. CoRR abs/2312.02708 (2023) - 2022
- [c4]Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann:
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks. NeurIPS 2022 - 2020
- [c3]Stefan Heindorf
, Yan Scholten
CauseNet: Towards a Causality Graph Extracted from the Web. CIKM 2020: 3023-3030 - [d1]Stefan Heindorf
CauseNet: Towards a Causality Graph Extracted from the Web. Zenodo, 2020
2010 – 2019
- 2019
- [c2]Stefan Heindorf, Yan Scholten
Debiasing Vandalism Detection Models at Wikidata. GI-Jahrestagung 2019: 289-290 - [c1]Stefan Heindorf
Debiasing Vandalism Detection Models at Wikidata. WWW 2019: 670-680
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last updated on 2024-11-25 22:47 CET by the dblp team
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