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Thilo Strauss
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2020 – today
- 2025
- [i10]Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert:
Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization. CoRR abs/2502.19377 (2025) - 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) - [i9]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) - [i8]Anuj Abhishek, Thilo Strauss:
Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application. CoRR abs/2407.17182 (2024) - [i7]Sudeb Majee, Anuj Abhishek, Thilo Strauss, Taufiquar Khan:
MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems. CoRR abs/2412.16883 (2024) - 2023
- [j5]Chowdhury Abrar Faiyaz
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) - [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 - 2022
- [j3]Anuj Abhishek
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. SIAM J. Imaging Sci. 15(2): 797-821 (2022) - 2020
- [j2]Markus Hanselmann
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. IEEE Access 8: 58194-58205 (2020) - [c3]Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger:
Learning Implicit Surface Light Fields. 3DV 2020: 452-462 - [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)
2010 – 2019
- 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) - [c2]Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger:
Texture Fields: Learning Texture Representations in Function Space. ICCV 2019: 4530-4539 - [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) - 2015
- [c1]Thilo Strauss, Xiaolin Fan
Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow. ICCS 2015: 1188-1197
Coauthor Index
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