An implicitly parallel EDA based on restricted boltzmann machines. - Malte Probst; Franz Rothlauf; Jörn Grahl (GECCO, 2014)

Denoising Autoencoders for Fast Combinatorial Black Box Optimization. - Malte Probst (GECCO (Companion), 2015)

Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization. - Malte Probst (CoRR, 2015)

Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples. - Malte Probst; Franz Rothlauf (CoRR, 2015)

Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization. - Malte Probst; Franz Rothlauf (CoRR, 2015)

Scalability of using Restricted Boltzmann Machines for combinatorial optimization. - Malte Probst; Franz Rothlauf; Jörn Grahl (Eur. J. Oper. Res., 2017)

Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. - Tim Puphal; Malte Probst; Yiyang Li; Yosuke Sakamoto; Julian Eggert (Intelligent Vehicles Symposium, 2018)

Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. - Tim Puphal; Malte Probst; Misa Komuro; Yiyang Li; Julian Eggert (ITSC, 2019)

Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. - Tim Puphal; Malte Probst; Julian Eggert (IEEE Trans. Intell. Veh., 2019)

Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms. - Malte Probst; Franz Rothlauf (J. Mach. Learn. Res., 2020)

Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. - Malte Probst; Raphael Wenzel; Tim Puphal; Misa Komuro; Thomas H. Weisswange; Nico Steinhardt; Bram Bolder; Benedict Flade; Yosuke Sakamoto; Yuji Yasui; Julian Eggert (ITSC, 2021)

Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces. - Raphael Wenzel; Malte Probst; Tim Puphal; Thomas H. Weisswange; Julian Eggert (IV, 2021)

Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning. - Thomas Schnürer; Malte Probst; Horst-Michael Gross (CoRR, 2022)

Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. - Tim Puphal; Benedict Flade; Malte Probst; Volker Willert; Jürgen Adamy; Julian Eggert (IEEE Trans. Intell. Veh., 2022)

Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning. - Tim Puphal; Ryohei Hirano; Malte Probst; Raphael Wenzel; Akihito Kimata (RO-MAN, 2023)

Importance Filtering with Risk Models for Complex Driving Situations. - Tim Puphal; Raphael Wenzel; Benedict Flade; Malte Probst; Julian Eggert (CoRR, 2023)

Enabling Cooperative Pedestrian-Vehicle Interactions using an eHMI. - Markus Amann; Malte Probst; Raphael Wenzel; Thomas H. Weisswange (IV, 2024)

Optimal Behavior Planning for Implicit Communication using a Probabilistic Vehicle-Pedestrian Interaction Model. - Markus Amann; Malte Probst; Raphael Wenzel; Thomas H. Weisswange; Miguel Ángel Sotelo (CoRR, 2025)

Finding the Easy Way Through - the Probabilistic Gap Planner for Social Robot Navigation. - Malte Probst; Raphael Wenzel; Tim Puphal; Monica Dasi; Nico Steinhardt; Sango Matsuzaki; Misa Komuro (CoRR, 2025)