Automated Detection of Solar Cell Defects with Deep Learning. - Alexander Bartler; Lukas Mauch; Bin Yang 009; Michael Reuter; Liviu Stoicescu (EUSIPCO, 2018)

Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling. - Alexander Bartler; Felix Wiewel; Lukas Mauch; Bin Yang 009 (EUSIPCO, 2019)

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. - Annika Liebgott; Darius Hinderer; Karim Armanious; Alexander Bartler; Konstantin Nikolaou; Sergios Gatidis; Bin Yang 009 (EUSIPCO, 2019)

Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning. - Alexander Bartler; Darius Hinderer; Bin Yang 009 (EUSIPCO, 2020)

Anomaly Detection Based on Selection and Weighting in Latent Space. - Yiwen Liao; Alexander Bartler; Bin Yang 009 (CASE, 2021)

Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows. - Nico Reick; Felix Wiewel; Alexander Bartler; Bin Yang 009 (CoRR, 2021)

MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. - Alexander Bartler; Andre Bühler; Felix Wiewel; Mario Döbler; Bin Yang 009 (AISTATS, 2022)

TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. - Alexander Bartler; Florian Bender; Felix Wiewel; Bin Yang 009 (IJCNN, 2022)

Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. - Robert A. Marsden; Alexander Bartler; Mario Döbler; Bin Yang 009 (IJCNN, 2022)

Dirichlet Prior Networks for Continual Learning. - Felix Wiewel; Alexander Bartler; Bin Yang 009 (IJCNN, 2022)

Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. - Karim Armanious; Maurice Quach; Michael Ulrich; Timo Winterling; Johannes Friesen; Sascha Braun; Daniel Jenet; Yuri Feldman; Eitan Kosman; Philipp Rapp; Volker Fischer 003; Marc Sons; et al. (CoRR, 2024)

Prompt tuning for parameter-efficient medical image segmentation. - Marc Fischer 003; Alexander Bartler; Bin Yang 009 (Medical Image Anal., 2024)