Stefan Bauer
Orcid: 0000-0003-1712-060X
According to our database1,
Stefan Bauer
authored at least 129 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
An Exploration of Hackathons as Time Intense and Collaborative Forms of Crowdsourcing.
IEEE Trans. Engineering Management, 2024
CoRR, 2024
2023
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks.
Expert Syst. J. Knowl. Eng., July, 2023
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases.
PLoS Comput. Biol., January, 2023
Nat. Comput. Sci., 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.
IEEE Robotics Autom. Lett., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database.
CoRR, 2022
CoRR, 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations.
CoRR, 2022
CoRR, 2022
Array, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022
2021
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation.
npj Digit. Medicine, 2021
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning.
CoRR, 2021
CoRR, 2021
Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases.
CoRR, 2021
CoRR, 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Automatic Training Set Compilation With Multisource Geodata for DTM Generation From the TanDEM-X DSM.
IEEE Geosci. Remote. Sens. Lett., 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation.
J. Mach. Learn. Res., 2020
CoRR, 2020
Is Independence all you need? On the Generalization of Representations Learned from Correlated Data.
CoRR, 2020
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
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 4th Conference on Robot Learning, 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
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 Comput. Biol., 2019
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
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
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
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
2016
Proceedings of the 10th Mediterranean Conference on Information Systems, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the HCI in Business, Government, and Organizations: eCommerce and Innovation, 2016
2015
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
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
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
Int. J. Imaging Syst. Technol., 2013
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
IEEE Trans. Biomed. Eng., 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
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