Alexander Bartler

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

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

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).

Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling

Bin Yang, Lukas Mauch, Felix Wiewel, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Automated Detection of Solar Cell Defects with Deep Learning

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

Training Variational Auto Encoders with Discrete Latent Representations using Importance Sampling

Bin Yang, Lukas Mauch, Felix Wiewel, 2018 .

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.

Image Preprocessing for Outdoor Luminescence Inspection of Large Photovoltaic Parks

Alexander Bartler, Pascal Kölblin, Marvin Füller, 2021 .

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).