Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow. - Thilo Strauss; Xiaolin Fan; Shuyu Sun 001; Taufiquar Khan (ICCS, 2015)

Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks. - Thilo Strauss; Markus Hanselmann; Andrej Junginger; Holger Ulmer (CoRR, 2017)

Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks. - Andrej Junginger; Markus Hanselmann; Thilo Strauss; Sebastian Boblest; Jens Buchner; Holger Ulmer (CoRR, 2018)

Texture Fields: Learning Texture Representations in Function Space. - Michael Oechsle; Lars M. Mescheder; Michael Niemeyer; Thilo Strauss; Andreas Geiger 001 (ICCV, 2019)

Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography. - Sanwar Ahmad; Thilo Strauss; Shyla Kupis; Taufiquar Khan (Appl. Math. Comput., 2019)

Learning Implicit Surface Light Fields. - Michael Oechsle; Michael Niemeyer; Christian Reiser; Lars M. Mescheder; Thilo Strauss; Andreas Geiger 001 (3DV, 2020)

CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data. - Markus Hanselmann; Thilo Strauss; Katharina Dormann; Holger Ulmer (IEEE Access, 2020)

Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography. - Thilo Strauss; Sanwar Ahmad; Taufiquar Khan (CoRR, 2020)

Learning Implicit Surface Light Fields. - Michael Oechsle; Michael Niemeyer; Lars M. Mescheder; Thilo Strauss; Andreas Geiger 001 (CoRR, 2020)

An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. - Anuj Abhishek; Thilo Strauss; Taufiquar Khan (SIAM J. Imaging Sci., 2022)

Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography. - Akarsh Pokkunuru; Pedram Rooshenas; Thilo Strauss; Anuj Abhishek; Taufiquar Khan (ICLR, 2023)

Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem. - Chowdhury Abrar Faiyaz; Pabel Shahrear; Rakibul Alam Shamim; Thilo Strauss; Taufiquar Khan (Algorithms, 2023)

Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. - Thilo Strauss; Taufiquar Khan (Entropy, 2023)

Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities. - Thilo Strauss; Michael Oechsle; Uwe Bauknecht (IEEE Access, 2024)

A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography. - Anuj Abhishek; Thilo Strauss; Taufiquar Khan (CoRR, 2024)

Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application. - Anuj Abhishek; Thilo Strauss (CoRR, 2024)

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems. - Sudeb Majee; Anuj Abhishek; Thilo Strauss; Taufiquar Khan (CoRR, 2024)

Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization. - Arman Mielke; Uwe Bauknecht; Thilo Strauss; Mathias Niepert (CoRR, 2025)

Optimized YOLOv5 model for safety helmet and flame detection system. - Zhuoyuan Tang; Md Maruf Hasan; Thilo Strauss (Signal Image Video Process., 2025)