Malte Probst

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Boltzmann Machines

Survival Analysis

Contrastive Divergence

Top Venues

IEEE Trans. Intell. Veh.

Publications

Markus Amann, Malte Probst, Raphael Wenzel, Thomas H. Weisswange
Enabling Cooperative Pedestrian-Vehicle Interactions using an eHMI. IV (2024)
Tim Puphal, Malte Probst, Julian Eggert
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. CoRR (2023)
Tim Puphal, Raphael Wenzel, Benedict Flade, Malte Probst, Julian Eggert
Importance Filtering with Risk Models for Complex Driving Situations. CoRR (2023)
Tim Puphal, Malte Probst, Misa Komuro, Yiyang Li, Julian Eggert
Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. CoRR (2023)
Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. CoRR (2023)
Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert
Online and Predictive Warning System for Forced Lane Changes using Risk Maps. CoRR (2023)
Tim Puphal, Ryohei Hirano, Malte Probst, Raphael Wenzel, Akihito Kimata
Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning. CoRR (2023)
Tim Puphal, Ryohei Hirano, Malte Probst, Raphael Wenzel, Akihito Kimata
Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning. RO-MAN (2023)
Thomas Schnürer, Malte Probst, Horst-Michael Gross
Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning. CoRR (2022)
Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert
Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. IEEE Trans. Intell. Veh. 7 (3) (2022)
Raphael Wenzel, Malte Probst, Tim Puphal, Thomas H. Weisswange, Julian Eggert
Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces. IV (2021)
Malte Probst, Raphael Wenzel, Tim Puphal, Misa Komuro, Thomas H. Weisswange, Nico Steinhardt, Bram Bolder, Benedict Flade, Yosuke Sakamoto, Yuji Yasui, Julian Eggert
Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. ITSC (2021)
Malte Probst, Franz Rothlauf
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms. J. Mach. Learn. Res. 21 (2020)
Tim Puphal, Malte Probst, Julian Eggert
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. IEEE Trans. Intell. Veh. 4 (3) (2019)
Tim Puphal, Malte Probst, Misa Komuro, Yiyang Li, Julian Eggert
Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. ITSC (2019)
Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. Intelligent Vehicles Symposium (2018)
Malte Probst, Franz Rothlauf, Jörn Grahl
Scalability of using Restricted Boltzmann Machines for combinatorial optimization. Eur. J. Oper. Res. 256 (2) (2017)
Malte Probst
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization. CoRR (2015)
Malte Probst
Denoising Autoencoders for fast Combinatorial Black Box Optimization. CoRR (2015)
Malte Probst, Franz Rothlauf
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization. CoRR (2015)
Malte Probst
Denoising Autoencoders for Fast Combinatorial Black Box Optimization. GECCO (Companion) (2015)
Malte Probst, Franz Rothlauf
Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples. CoRR (2015)
Malte Probst, Franz Rothlauf, Jörn Grahl
An implicitly parallel EDA based on restricted boltzmann machines. GECCO (2014)
Malte Probst, Franz Rothlauf, Jörn Grahl
Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization. CoRR (2014)