Alexander Bartler

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Unsupervised Learning

Medical Image Segmentation

Statistical Significance

Gaussian Process

Top Venues

Publications

Karim Armanious, Maurice Quach, Michael Ulrich, Timo Winterling, Johannes Friesen, Sascha Braun, Daniel Jenet, Yuri Feldman, Eitan Kosman, Philipp Rapp, Volker Fischer, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald, Yancong Lin, Ulf Rüegg, Claudius Gläser, Bastian Bischoff, Jascha Freess, Karsten Haug, Kathrin Klee, Holger Caesar
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. CoRR (2024)
Marc Fischer, Alexander Bartler, Bin Yang
Prompt tuning for parameter-efficient medical image segmentation. Medical Image Anal. 91 (2024)
Felix Wiewel, Alexander Bartler, Bin Yang
Dirichlet Prior Networks for Continual Learning. IJCNN (2022)
Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. IJCNN (2022)
Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. AISTATS (2022)
Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. CoRR (2022)
Marc Fischer, Alexander Bartler, Bin Yang
Prompt Tuning for Parameter-efficient Medical Image Segmentation. CoRR (2022)
Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. IJCNN (2022)
Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. CoRR (2021)
Yiwen Liao, Alexander Bartler, Bin Yang
Anomaly Detection Based on Selection and Weighting in Latent Space. CoRR (2021)
Yiwen Liao, Alexander Bartler, Bin Yang
Anomaly Detection Based on Selection and Weighting in Latent Space. CASE (2021)
Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows. CoRR (2021)
Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR (2021)
Alexander Bartler, Darius Hinderer, Bin Yang
Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning. EUSIPCO (2020)
Annika Liebgott, Darius Hinderer, Karim Armanious, Alexander Bartler, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. EUSIPCO (2019)
Alexander Bartler, Felix Wiewel, Lukas Mauch, Bin Yang
Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling. EUSIPCO (2019)
Alexander Bartler, Lukas Mauch, Bin Yang, Michael Reuter, Liviu Stoicescu
Automated Detection of Solar Cell Defects with Deep Learning. EUSIPCO (2018)