Oliver Dürr

According to our database, Oliver Dürr authored at least 22 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian Semi-structured Subspace Inference.

Daniel Dold, David Rügamer, Beate Sick, Oliver Dürr

CoRR, 2024

2023

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows.

Marcel Arpogaus, Marcus Voss, Beate Sick, Mark Nigge-Uricher, Oliver Dürr

IEEE Trans. Smart Grid, November, 2023

Single-shot Bayesian approximation for neural networks.

Kai Brach, Beate Sick, Oliver Dürr

CoRR, 2023

Bayesian Calibration of MEMS Accelerometers.

Oliver Dürr, Po-Yu Fan, Zong-Xian Yin

CoRR, 2023

2022

Deep and interpretable regression models for ordinal outcomes.

Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick

Pattern Recognit., 2022

Bernstein Flows for Flexible Posteriors in Variational Bayes.

Oliver Dürr, Stephan Hörling, Daniel Dold, Ivonne Kovylov, Beate Sick

CoRR, 2022

2021

Transformation Models for Flexible Posteriors in Variational Bayes.

Sefan Hörtling, Daniel Dold, Oliver Dürr, Beate Sick

CoRR, 2021

2020

Integrating uncertainty in deep neural networks for MRI based stroke analysis.

Lisa Herzog, Elvis Murina, Oliver Dürr, Susanne Wegener, Beate Sick

Medical Image Anal., 2020

Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes.

Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick

CoRR, 2020

Single Shot MC Dropout Approximation.

Kai Brach, Beate Sick, Oliver Dürr

CoRR, 2020

Deep transformation models: Tackling complex regression problems with neural network based transformation models.

Beate Sick, Torsten Hothorn, Oliver Dürr

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks.

Janick Rohrbach, Tobias Reinhard, Beate Sick, Oliver Dürr

Comput. Electr. Eng., 2019

Beyond ImageNet: Deep Learning in Industrial Practice.

Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr

Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019

2018

Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.

Thilo Stadelmann, Sebastian Glinski-Haefeli, Patrick Gerber, Oliver Dürr

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Learning Neural Models for End-to-End Clustering.

Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

Learning embeddings for speaker clustering based on voice equality.

Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Speaker identification and clustering using convolutional neural networks.

Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

Deep Learning on a Raspberry Pi for Real Time Face Recognition.

Oliver Dürr, Yves Pauchard, Diego Browarnik, Rebekka Axthelm, Martin Loeser

Proceedings of the 36th Annual Conference of the European Association for Computer Graphics, 2015

2014

JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest.

Oliver Dürr, Fatih Uzdilli, Mark Cieliebak

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools.

Mark Cieliebak, Oliver Dürr, Fatih Uzdilli

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013

Potential and Limitations of Commercial Sentiment Detection Tools.

Mark Cieliebak, Oliver Dürr, Fatih Uzdilli

Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012

Using Community Structure for Complex Network Layout

Oliver Dürr, Arnd Brandenburg

CoRR, 2012