Felix Michels

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Image Statistics

Efficiently Learnable

Bayesian Framework

Diffusion Model

Top Venues

Trans. Mach. Learn. Res.

Publications

Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection. Trans. Mach. Learn. Res. 2024 (2024)
Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. CoRR (2024)
Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann
Rethinking cluster-conditioned diffusion models. CoRR (2024)
Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann
Exploring the Limits of Deep Image Clustering using Pretrained Models. CoRR (2023)
Felix Michels, Nikolas Adaloglou, Tim Kaiser, Markus Kollmann
Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors. CoRR (2023)
Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann
Exploring the Limits of Deep Image Clustering using Pretrained Models. BMVC (2023)
Tobias Uelwer, Felix Michels, Oliver De Candido
Learning to Detect Adversarial Examples Based on Class Scores. KI (2021)
Tobias Uelwer, Felix Michels, Oliver De Candido
Learning to Detect Adversarial Examples Based on Class Scores. CoRR (2021)
Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling
On the Vulnerability of Capsule Networks to Adversarial Attacks. CoRR (2019)