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Prompt injection attacks on vision language models in oncology2025 Nature Communications article Computer Science Adversarial Robustness in Machine Learning Open access
Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin Victoria Schneider, Titus Josef Brinker, Sebastian Foersch, +2 more
61citations -
Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning2021 Proceedings of the National Academy of Sciences article Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
42citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2025 Journal of Statistical Software software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Félix Laliberté, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, +1 more
37citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Evaluating chemical similarity as a measure to identify potential substances of very high concern2020 Regulatory Toxicology and Pharmacology article Computer Science Computational Drug Discovery Methods Open access
Pim N.H. Wassenaar, Emiel Rorije, Martina G. Vijver, Willie J.G.M. Peijnenburg
19citations -
Interpretable Visualizations of Deep Neural Networks for Domain Generation Algorithm Detection2020 IEEE Symposium on Visualization for Cyber Security (VIZSEC) conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Franziska Becker, Arthur Drichel, Christoph Müller, Thomas Ertl
15citations -
Predicting clinical drug response from model systems by non-linear subspace-based transfer learning2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
9citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2023 arXiv (Cornell University) software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
8citations -
Prompt Injection Attacks on Large Language Models in Oncology2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin Victoria Schneider, Titus Josef Brinker, Sebastian Foersch, +2 more
5citations -
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks
Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub
2citations -
Combining Slow and Fast: Complementary Filtering for Dynamics Learning2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Reinforcement Learning in Robotics Open access
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe
2citations