Thilo Strauss

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Diffuse Optical Tomography

Bootstrap Sampling

Top Venues

SIAM J. Imaging Sci.

Publications

Anuj Abhishek, Thilo Strauss
Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application. CoRR (2024)
Thilo Strauss, Michael Oechsle, Uwe Bauknecht
Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities. IEEE Access 12 (2024)
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 (2024)
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) (2023)
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)
Thilo Strauss, Taufiquar Khan
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. Entropy 25 (3) (2023)
Anuj Abhishek, Thilo Strauss, Taufiquar Khan
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. SIAM J. Imaging Sci. 15 (2) (2022)
Thilo Strauss, Sanwar Ahmad, Taufiquar Khan
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography. CoRR (2020)
Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
Learning Implicit Surface Light Fields. 3DV (2020)
Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. IEEE Access 8 (2020)
Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger
Learning Implicit Surface Light Fields. CoRR (2020)
Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
Texture Fields: Learning Texture Representations in Function Space. CoRR (2019)
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 (2019)
Markus Hanselmann, Thilo Strauss, Katharina Dormann, Holger Ulmer
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. CoRR (2019)
Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger
Texture Fields: Learning Texture Representations in Function Space. ICCV (2019)
Andrej Junginger, Markus Hanselmann, Thilo Strauss, Sebastian Boblest, Jens Buchner, Holger Ulmer
Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks. CoRR (2018)
Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks. CoRR (2017)
Thilo Strauss, Xiaolin Fan, Shuyu Sun, Taufiquar Khan
Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow. ICCS (2015)