Lars Rosenbaum
According to our database1,
Lars Rosenbaum
authored at least 24 papers
between 2011 and 2023.
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Bibliography
2023
Proceedings of the International Conference on Machine Learning, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
IEEE Trans. Intell. Transp. Syst., 2021
2020
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty.
CoRR, 2020
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving.
CoRR, 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
CoRR, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2015
A ranking method for the concurrent learning of compounds with various activity profiles.
J. Cheminformatics, 2015
2014
PhD thesis, 2014
2013
J. Cheminformatics, 2013
Optimization and visualization of the edge weights in optimal assignment methods for virtual screening.
BioData Min., 2013
2012
Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012
2011
Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics.
J. Chem. Inf. Model., 2011
J. Cheminformatics, 2011
4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening.
J. Cheminformatics, 2011
jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints.
J. Cheminformatics, 2011
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011