Browsing Universitätsbibliographie by Author "Hein, Matthias"

Now showing items 21-40 of 70

Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs

Hein, Matthias; Mercado, Pedro; Tudisco, Francesco (2019)
Identification of Fine-grained Systematic Errors via Controlled Scene Generation

Hein, Matthias; Metzen, Jan Hendrik; Boreiko, Valentyn (2024)
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline

Boreiko, Valentyn; Hein, Matthias; Metzen, Jan Hendrik (2023)
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints

Hein, Matthias; Voracek, Vaclav (2023)
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation

Hein, Matthias; Müller, Maximilian; Bitterwolf, Julian (2023)
K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Tolpadi, Aniket A.; Bharadwaj, Upasana; Gao, Kenneth T.; Bhattacharjee, Rupsa; Gassert, Felix G.; Luitjens, Johanna; Giesler, Paula; Morshuis, Jan Nikolas; Fischer, Paul; Hein, Matthias; Baumgartner, Christian F.; Razumov, Artem; Dylov, Dmitry; van Lohuizen, Quintin; Fransen, Stefan J.; Zhang, Xiaoxia; Tibrewala, Radhika; de Moura, Hector Lise; Liu, Kangning; Zibetti, Marcelo V. W.; Regatte, Ravinder; Majumdar, Sharmila; Pedoia, Valentina (2023)
K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Hein, Matthias; Tolpadi, Aniket A.; Upadhyay Bharadwaj, Upasana; Gao, Kenneth T.; Bhattacharjee, Rupsa; Gassert, Felix G.; Luitjens, Johanna; Gielser, Paula; Morshuis, Jan Nikolas; Fischer, Paul; Baumgartner, Christian F.; Razumov, Artem; Dylov, Dmitry; van Lohuizen, Quintin; Fransen, Stefan J.; Zhang, Xiaoxia; Tibrewala, Radhika; de Moura, Hector Lise; Liu, Kangning; Wust Zibetti, Marcelo Victor (2023)
Learnable Uncertainty under Laplace Approximations

Kristiadi, Agustinus; Hein, Matthias; Hennig, Philipp (2021)
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks

Yatsura, Maksym; Metzen, Jan Hendrik; Hein, Matthias (2021)
Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Croce, Francesco; Hein, Matthias (2021)
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Hein, Matthias; Croce, Francesco (2019)
Neural Network Heuristic Functions: Taking Confidence into Account

Heller, Daniel; Ferber, Patrick; Bitterwolf, Julian; Hein, Matthias; Hoffmann, Jörg (2022)
Nonlinear Perron--Frobenius Theorems for Nonnegative Tensors

Hein, Matthias; Tudisco, Francesco; Gautier, Antoine (2023)
Nonlinear Perron--Frobenius Theorems for Nonnegative Tensors

Hein, Matthias; Tudisco, Francesco; Gautier, Antoine (2023)
Normalization Layers Are All That Sharpness-Aware Minimization Needs

Hein, Matthias; Rolnick, David; Vlaar, Tiffany; Mueller, Maximilian (2023)
On the Adversarial Robustness of Multi-Modal Foundation Models

Hein, Matthias; Schlarmann, Christian (2023)
On the interplay of adversarial robustness and architecture components: patches, convolution and attention

Croce, Francesco; Hein, Matthias (2022)
On the loss landscape of a class of deep neural networks with no bad local valleys

Nguyen, Quyah; Mukkamala, Mahesh Chandra; Hein, Matthias (2018)
Out-distribution aware Self-training in an Open World Setting

Augustin, Maximilian; Hein, Matthias (2021)
Provable robustness against all adversarial l p -perturbations for p≥1

Croce, Francesco; Hein, Matthias (2019)

Now showing items 21-40 of 70

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