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Semantic ScholarStefan Bauer
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2010 – 2019
- 2019
[j7]Vincent Stimper, Stefan Bauer, Ralph Ernstorfer, Bernhard Schölkopf, Rui Patrick Xian
:
Multidimensional Contrast Limited Adaptive Histogram Equalization. IEEE Access 7: 165437-165447 (2019)- [c29]Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann:
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS 2019: 1351-1360 - [c28]Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem:
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. RML@ICLR 2019 - [c27]Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer:
Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments. DGS@ICLR 2019 - [c26]Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf, Stefan Bauer:
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs. ICML 2019: 1-10 - [c25]Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem:
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. ICML 2019: 4114-4124 - [c24]Raphael Suter, Ðorðe Miladinovic, Bernhard Schölkopf, Stefan Bauer:
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness. ICML 2019: 6056-6065 - [c23]Francesco Locatello, Gabriele Abbati, Thomas Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem:
On the Fairness of Disentangled Representations. NeurIPS 2019: 14584-14597 - [c22]Muhammad Waleed Gondal, Manuel Wuthrich, Djordje Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer:
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. NeurIPS 2019: 15714-15725 - [i18]Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR abs/1902.00981 (2019) - [i17]Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters:
Bayesian Online Detection and Prediction of Change Points. CoRR abs/1902.04524 (2019) - [i16]Philippe Wenk, Gabriele Abbati, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf:
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. CoRR abs/1902.06278 (2019) - [i15]Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf:
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs. CoRR abs/1902.08480 (2019) - [i14]Anant Raj, Luigi Gresele, Michel Besserve, Bernhard Schölkopf, Stefan Bauer:
Orthogonal Structure Search for Efficient Causal Discovery from Observational Data. CoRR abs/1903.02456 (2019) - [i13]Francesco Locatello, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem:
Disentangling Factors of Variation Using Few Labels. CoRR abs/1905.01258 (2019) - [i12]Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem:
On the Fairness of Disentangled Representations. CoRR abs/1905.13662 (2019) - [i11]Ðorðe Miladinovic, Muhammad Waleed Gondal, Bernhard Schölkopf, Joachim M. Buhmann, Stefan Bauer:
Disentangled State Space Representations. CoRR abs/1906.03255 (2019) - [i10]Muhammad Waleed Gondal, Manuel Wüthrich, Ðorðe Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer:
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. CoRR abs/1906.03292 (2019) - [i9]Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio:
Learning Neural Causal Models from Unknown Interventions. CoRR abs/1910.01075 (2019) - 2018
- [c21]Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf:
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. NeurIPS 2018: 9838-9848 - [i8]Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann:
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. CoRR abs/1804.04378 (2018) - [i7]Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf:
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. CoRR abs/1808.04768 (2018) - [i6]Niklas Pfister, Stefan Bauer, Jonas Peters:
Identifying Causal Structure in Large-Scale Kinetic Systems. CoRR abs/1810.11776 (2018) - [i5]Raphael Suter, Ðorðe Miladinovic, Stefan Bauer, Bernhard Schölkopf:
Interventional Robustness of Deep Latent Variable Models. CoRR abs/1811.00007 (2018) - [i4]Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - [i3]Francesco Locatello, Stefan Bauer, Mario Lucic, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem:
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. CoRR abs/1811.12359 (2018) - 2017
- [j6]Stefan Bauer, Edward W. N. Bernroider, Katharina Chudzikowski:
Prevention is better than cure! Designing information security awareness programs to overcome users' non-compliance with information security policies in banks. Computers & Security 68: 145-159 (2017) - [j5]Stefan Bauer, Edward W. N. Bernroider:
From Information Security Awareness to Reasoned Compliant Action: Analyzing Information Security Policy Compliance in a Large Banking Organization. DATA BASE 48(3): 44-68 (2017) - [c20]Nico S. Gorbach, Andrew An Bian, Benjamin Fischer, Stefan Bauer, Joachim M. Buhmann:
Model Selection for Gaussian Process Regression. GCPR 2017: 306-318 - [c19]Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann:
MRI-Based Surgical Planning for Lumbar Spinal Stenosis. MICCAI (3) 2017: 116-124 - [c18]Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann:
Scalable Variational Inference for Dynamical Systems. NIPS 2017: 4806-4815 - [c17]Stefan Bauer, Nico S. Gorbach, Ðorðe Miladinovic, Joachim M. Buhmann:
Efficient and Flexible Inference for Stochastic Systems. NIPS 2017: 6988-6998 - 2016
- [c16]Nikolaus Obwegeser, Stefan Bauer:
Digital Innovation and the Becoming of an Organizational Identity. HCI (21) 2016: 556-564 - [c15]Stefan Bauer, Bernhard Schölkopf, Jonas Peters:
The Arrow of Time in Multivariate Time Series. ICML 2016: 2043-2051 - [c14]Stefan Bauer, Nikolaus Obwegeser, Zlatko Avdagic:
Corporate Accelerators: Transferring Technology Innovation to Incumbent Companies. MCIS 2016: 57 - [i2]Stefan Bauer, Nicolas Carion, Peter J. Schüffler, Thomas J. Fuchs, Peter J. Wild, Joachim M. Buhmann:
Multi-Organ Cancer Classification and Survival Analysis. CoRR abs/1606.00897 (2016) - 2015
- [j4]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Med. Imaging 34(10): 1993-2024 (2015) - [c13]Stefan Bauer, Katharina Chudzikowski:
Mind the Threat! A Qualitative Case Study on Information Security Awareness Programs in European Banks. AMCIS 2015 - [c12]Claus Danielson, Stefan Bauer:
Numerical decomposition of symmetric linear systems. CDC 2015: 2061-2066 - [c11]Stefan Bauer, Edward W. N. Bernroider:
The Effects of Awareness Programs on Information Security in Banks: The Roles of Protection Motivation and Monitoring. HCI (22) 2015: 154-164 - 2014
- [c10]Markus Zimmermann, Stefan Bauer, Niklas Lutteken, Iris M. Rothkirch, Klaus-Josef Bengler:
Acting together by mutual control: Evaluation of a multimodal interaction concept for cooperative driving. CTS 2014: 227-235 - [c9]Stefan Bauer, Pascal P. Gratz, Jan Gralla, Mauricio Reyes, Roland Wiest:
Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients. EMBC 2014: 1521-1524 - [c8]Stefan Bauer, Nicole Porz, Raphael Meier, Alessia Pica, Johannes Slotboom, Roland Wiest, Mauricio Reyes:
Interactive segmentation of MR images from brain tumor patients. ISBI 2014: 862-865 - [c7]Raphael Meier, Stefan Bauer, Johannes Slotboom, Roland Wiest, Mauricio Reyes:
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation. MICCAI (1) 2014: 714-721 - 2013
- [j3]Stefan Bauer, Huanxiang Lu, Christian May, Lutz-Peter Nolte, Philippe Büchler, Mauricio Reyes:
Integrated segmentation of brain tumor images for radiotherapy and neurosurgery. Int. J. Imaging Systems and Technology 23(1): 59-63 (2013) - [c6]Stefan Bauer, Edward W. N. Bernroider:
IT operational risk awareness building in banking companies: A preliminary research design highlighting the importance of risk cultures and control systems. CONF-IRM 2013: 56 - [c5]Robin Streiter, Sven Bauer, Stefan Bauer, Gerd Wanielik:
GNSS correction services for ITS applications a performance analysis of EGNOS and IGS. ITSC 2013: 1516-1521 - [c4]Stefan Bauer, Jean Tessier, Oliver Krieter, Lutz-Peter Nolte, Mauricio Reyes:
Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies. MCV 2013: 74-83 - 2012
- [j2]Stefan Bauer, Christian May, Dimitra D. Dionysiou, Georgios S. Stamatakos, Philippe Büchler, Mauricio Reyes:
Multiscale Modeling for Image Analysis of Brain Tumor Studies. IEEE Trans. Biomed. Engineering 59(1): 25-29 (2012) - [c3]Stefan Bauer:
A Literature Review on Operational IT Risks and Regulations of Institutions in the Financial Service Sector. CONF-IRM 2012: 58 - [i1]Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Skull-stripping for Tumor-bearing Brain Images. CoRR abs/1204.0357 (2012) - 2011
- [j1]Stefan Bauer:
Das vernetzte Fahrzeug - Herausforderungen für die IT. Informatik Spektrum 34(1): 38-41 (2011) - [c2]Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model. ISBI 2011: 2018-2021 - [c1]Stefan Bauer, Lutz-Peter Nolte, Mauricio Reyes:
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization. MICCAI (3) 2011: 354-361
Coauthor Index
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