Stefan Bauer

According to our database1, Stefan Bauer authored at least 57 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Automatic Training Set Compilation With Multisource Geodata for DTM Generation From the TanDEM-X DSM.
IEEE Geosci. Remote. Sens. Lett., 2020

S2RMs: Spatially Structured Recurrent Modules.
CoRR, 2020

Causal Feature Selection via Orthogonal Search.
CoRR, 2020

Is Independence all you need? On the Generalization of Representations Learned from Correlated Data.
CoRR, 2020

Structural Autoencoders Improve Representations for Generation and Transfer.
CoRR, 2020

predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019.
CoRR, 2020

SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives.
CoRR, 2020

Disentangling Factors of Variations Using Few Labels.
Proceedings of the 8th International Conference on Learning Representations, 2020

ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Commentary on the Unsupervised Learning of Disentangled Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.
PLoS Computational Biology, 2019

Learning Neural Causal Models from Unknown Interventions.
CoRR, 2019

Disentangled State Space Representations.
CoRR, 2019

Disentangling Factors of Variation Using Few Labels.
CoRR, 2019

Bayesian Online Detection and Prediction of Change Points.
CoRR, 2019

Multidimensional Contrast Limited Adaptive Histogram Equalization.
IEEE Access, 2019

On the Fairness of Disentangled Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness.
Proceedings of the 36th International Conference on Machine Learning, 2019

AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.
Proceedings of the Reproducibility in Machine Learning, 2019

Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.
CoRR, 2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018

Interventional Robustness of Deep Latent Variable Models.
CoRR, 2018

Identifying Causal Structure in Large-Scale Kinetic Systems.
CoRR, 2018

Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
From Information Security Awareness to Reasoned Compliant Action: Analyzing Information Security Policy Compliance in a Large Banking Organization.
Data Base, 2017

Prevention is better than cure! Designing information security awareness programs to overcome users' non-compliance with information security policies in banks.
Comput. Secur., 2017

Scalable Variational Inference for Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient and Flexible Inference for Stochastic Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MRI-Based Surgical Planning for Lumbar Spinal Stenosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Model Selection for Gaussian Process Regression.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016
Multi-Organ Cancer Classification and Survival Analysis.
CoRR, 2016

Corporate Accelerators: Transferring Technology Innovation to Incumbent Companies.
Proceedings of the 10th Mediterranean Conference on Information Systems, 2016

The Arrow of Time in Multivariate Time Series.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Digital Innovation and the Becoming of an Organizational Identity.
Proceedings of the HCI in Business, Government, and Organizations: eCommerce and Innovation, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

The Effects of Awareness Programs on Information Security in Banks: The Roles of Protection Motivation and Monitoring.
Proceedings of the Human Aspects of Information Security, Privacy, and Trust, 2015

Numerical decomposition of symmetric linear systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Mind the Threat! A Qualitative Case Study on Information Security Awareness Programs in European Banks.
Proceedings of the 21st Americas Conference on Information Systems, 2015

2014
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Interactive segmentation of MR images from brain tumor patients.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Acting together by mutual control: Evaluation of a multimodal interaction concept for cooperative driving.
Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

2013
Integrated segmentation of brain tumor images for radiotherapy and neurosurgery.
Int. J. Imaging Syst. Technol., 2013

Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

GNSS correction services for ITS applications a performance analysis of EGNOS and IGS.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

IT operational risk awareness building in banking companies: A preliminary research design highlighting the importance of risk cultures and control systems.
Proceedings of the CONF-IRM 2013, 2013

2012
Multiscale Modeling for Image Analysis of Brain Tumor Studies.
IEEE Trans. Biomed. Engineering, 2012

Skull-stripping for Tumor-bearing Brain Images
CoRR, 2012

A Literature Review on Operational IT Risks and Regulations of Institutions in the Financial Service Sector.
Proceedings of the CONF-IRM 2012, 2012

2011
Das vernetzte Fahrzeug - Herausforderungen für die IT.
Inform. Spektrum, 2011

Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011


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