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Journal Articles
- 2024
[j6]Thilo Strauss
, Michael Oechsle, Uwe Bauknecht:
Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities. IEEE Access 12: 23798-23807 (2024)- 2023
- [j5]Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss, Taufiquar Khan:
Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem. Algorithms 16(10): 461 (2023) - [j4]Thilo Strauss, Taufiquar Khan:
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. Entropy 25(3): 493 (2023) - 2022
- [j3]Anuj Abhishek, Thilo Strauss, Taufiquar Khan:
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. SIAM J. Imaging Sci. 15(2): 797-821 (2022) - 2020
- [j2]Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer:
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. IEEE Access 8: 58194-58205 (2020) - 2019
- [j1]Sanwar Ahmad, Thilo Strauss, Shyla Kupis, Taufiquar Khan:
Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography. Appl. Math. Comput. 358: 436-448 (2019)
Conference and Workshop Papers
- 2023
- [c4]Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss, Anuj Abhishek, Taufiquar Khan:
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography. ICLR 2023 - 2020
- [c3]Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. 3DV 2020: 452-462 - 2019
- [c2]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. ICCV 2019: 4530-4539 - 2015
- [c1]Thilo Strauss, Xiaolin Fan, Shuyu Sun, Taufiquar Khan:
Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow. ICCS 2015: 1188-1197
Informal and Other Publications
- 2024
- [i8]Anuj Abhishek, Thilo Strauss, Taufiquar Khan:
A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography. CoRR abs/2404.11552 (2024) - [i7]Anuj Abhishek, Thilo Strauss:
Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application. CoRR abs/2407.17182 (2024) - 2020
- [i6]Thilo Strauss, Sanwar Ahmad, Taufiquar Khan:
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography. CoRR abs/2002.08038 (2020) - [i5]Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. CoRR abs/2003.12406 (2020) - 2019
- [i4]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. CoRR abs/1905.07259 (2019) - [i3]Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer:
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. CoRR abs/1906.02492 (2019) - 2018
- [i2]Andrej Junginger, Markus Hanselmann, Thilo Strauss, Sebastian Boblest, Jens Buchner, Holger Ulmer:
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks. CoRR abs/1810.05724 (2018) - 2017
- [i1]Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer:
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks. CoRR abs/1709.03423 (2017)
Coauthor Index
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