Alexander Bartler

TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision

B. Yang, Felix Wiewel, Alexander Bartler, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Dirichlet Prior Networks for Continual Learning

B. Yang, Felix Wiewel, Alexander Bartler, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Prompt Tuning for Parameter-efficient Medical Image Segmentation

Marc Fischer, Alexander Bartler, Bin Yang, 2022, Medical Image Anal..

Automated Detection of Solar Cell Defects with Deep Learning

Bin Yang, Lukas Mauch, Liviu Stoicescu, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation pdf

Alexander Bartler, Bin Yang, Robert A. Marsden, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption pdf

Felix Wiewel, Alexander Bartler, Bin Yang, 2021, AISTATS.

Anomaly Detection Based on Selection and Weighting in Latent Space

Yiwen Liao, Alexander Bartler, Bin Yang, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks

Sergios Gatidis, Bin Yang, Konstantin Nikolaou, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows pdf

Felix Wiewel, Alexander Bartler, Bin Yang, 2021, ArXiv.

Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning

Bin Yang, Alexander Bartler, Darius Hinderer, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).