Thilo Strauss
Thilo Strauss
ETAS - Robert Bosch GmbH
Verified email at uw.edu
Title
Cited by
Cited by
Year
Ensemble methods as a defense to adversarial perturbations against deep neural networks
T Strauss, M Hanselmann, A Junginger, H Ulmer
arXiv preprint arXiv:1709.03423, 2017
712017
Texture Fields: Learning Texture Representations in Function Space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
Proceedings of the IEEE International Conference on Computer Vision, 4531-4540, 2019
622019
CANet: An unsupervised intrusion detection system for high dimensional CAN bus data
M Hanselmann, T Strauss, K Dormann, H Ulmer
IEEE Access 8, 58194-58205, 2020
222020
Learning implicit surface light fields
M Oechsle, M Niemeyer, C Reiser, L Mescheder, T Strauss, A Geiger
2020 International Conference on 3D Vision (3DV), 452-462, 2020
152020
Statistical inversion in electrical impedance tomography using mixed total variation and non-convex ℓp regularization prior
T Strauss, T Khan
Journal of Inverse and Ill-posed Problems 23 (5), 529-542, 2015
142015
Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography
S Ahmad, T Strauss, S Kupis, T Khan
Applied Mathematics and Computation 358, 436-448, 2019
92019
Unpaired high-resolution and scalable style transfer using generative adversarial networks
A Junginger, M Hanselmann, T Strauss, S Boblest, J Buchner, H Ulmer
arXiv preprint arXiv:1810.05724, 2018
72018
Statistical inverse problems in electrical impedance and diffuse optical tomography
T Strauss
Clemson University, 2015
52015
Statistical inversion of absolute permeability in single-phase darcy flow
T Strauss, X Fan, S Sun, T Khan
Procedia Computer Science 51, 1188-1197, 2015
42015
Device and method for classifying data in particular for a controller area network or an automotive ethernet network
M Hanselmann, H Ulmer, K Dormann, T Strauss, A Junginger, JS Buchner, ...
US Patent App. 16/742,353, 2020
12020
Method for the automated creation of rules for a rule-based anomaly recognition in a data stream
A La Marca, M Hanselmann, T Strauss
US Patent 10,958,675, 2021
2021
Method and device for ascertaining anomalies in a communications network
A Junginger, H Ulmer, M Hanselmann, T Strauss
US Patent App. 16/633,635, 2020
2020
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography
T Strauss, S Ahmad, T Khan
arXiv preprint arXiv:2002.08038, 2020
2020
Interaktive Visualisierung im Machine Learning Workflow
S Boblest, A Junginger, T Strauss
Interaktive Datenvisualisierung in Wissenschaft und Unternehmenspraxis, 189-210, 2020
2020
Method and apparatus for calibrating a system for recognizing attempts to penetrate a computer network
T Strauss, K Dormann, M Hanselmann
US Patent App. 16/384,260, 2019
2019
Method and device for recognizing anomalies in a data stream of a communication network
A La Marca, M Hanselmann, T Strauss
US Patent App. 16/213,649, 2019
2019
Alternatives for Generating a Reduced Basis to Solve the Hyperspectral Diffuse Optical Tomography Model
R Grotheer, T Strauss, P Gralla, T Khan
arXiv preprint arXiv:1803.00948, 2018
2018
Decision making using a multi-criteria approach in a wholesale electrical power market
T Khan, J Reneke, R Grotheer, T Strauss
2015 Clemson University Power Systems Conference (PSC), 1-5, 2015
2015
Supplementary Material for Texture Fields: Learning Texture Representations in Function Space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
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