Malte Probst

According to our database1, Malte Probst authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Importance Filtering with Risk Models for Complex Driving Situations.
CoRR, 2023

Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

2022
Online and Predictive Warning System for Forced Lane Changes Using Risk Maps.
IEEE Trans. Intell. Veh., 2022

Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning.
CoRR, 2022

2021
Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms.
J. Mach. Learn. Res., 2020

2019
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving.
IEEE Trans. Intell. Veh., 2019

Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
Scalability of using Restricted Boltzmann Machines for combinatorial optimization.
Eur. J. Oper. Res., 2017

2015
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization.
CoRR, 2015

Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples.
CoRR, 2015

Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization.
CoRR, 2015

Denoising Autoencoders for Fast Combinatorial Black Box Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
An implicitly parallel EDA based on restricted boltzmann machines.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014


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