Universitätsbibliographie: Recent submissions

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Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields

Weiland, Tim; Pförtner, Marvin; Hennig, Philipp (2025)
Quantifying spatial uncertainty to improve soil predictions in data-sparse regions

Rau, Kerstin; Eggensperger, Katharina; Schneider, Frank; Blaschek, Michael; Hennig, Philipp; Scholten, Thomas (2025)
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP

Singh, Naman Deep; Croce, Francesco; Hein, Matthias (2024)
Object-Focused Data Selection for Dense Prediction Tasks

Popp, Niclas; Zhang, Dan; Metzen, Jan Hendrik; Hein, Matthias; Schott, Lukas (2024)
Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics

Croce, Francesco; Schlarmann, Christian; Singh, Naman Deep; Hein, Matthias (2025)

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