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Books and Theses
- 2014
[b1]Lars Rosenbaum:
Interpretable Machine Learning Models for Mining Chemical Databases. Eberhard Karls University of Tübingen, Verlag Dr. Hut 2014
Journal Articles
- 2022
- [j9]Di Feng
, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection. IEEE Trans. Intell. Transp. Syst. 23(8): 9981-9994 (2022) - 2021
- [j8]Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Gläser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. IEEE Trans. Intell. Transp. Syst. 22(3): 1341-1360 (2021) - 2015
- [j7]Alexander Dörr, Lars Rosenbaum, Andreas Zell:
A ranking method for the concurrent learning of compounds with various activity profiles. J. Cheminformatics 7: 2 (2015) - 2013
- [j6]Lars Rosenbaum, Andreas Jahn, Alexander Dörr, Andreas Zell:
Optimization and visualization of the edge weights in optimal assignment methods for virtual screening. BioData Min. 6: 7 (2013) - [j5]Lars Rosenbaum, Alexander Dörr, Matthias R. Bauer, Frank M. Boeckler, Andreas Zell:
Inferring multi-target QSAR models with taxonomy-based multi-task learning. J. Cheminformatics 5: 33 (2013) - 2011
- [j4]Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, Andreas Zell:
jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints. J. Cheminformatics 3: 3 (2011) - [j3]Lars Rosenbaum, Georg Hinselmann, Andreas Jahn, Andreas Zell:
Interpreting linear support vector machine models with heat map molecule coloring. J. Cheminformatics 3: 11 (2011) - [j2]Andreas Jahn, Lars Rosenbaum, Georg Hinselmann, Andreas Zell:
4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening. J. Cheminformatics 3: 23 (2011) - [j1]Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, Claude Ostermann, Andreas Zell:
Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics. J. Chem. Inf. Model. 51(2): 203-213 (2011)
Conference and Workshop Papers
- 2023
- [c11]Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner:
Unscented Autoencoder. ICML 2023: 14758-14779 - 2022
- [c10]Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser:
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. IROS 2022: 560-567 - 2020
- [c9]Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Inferring Spatial Uncertainty in Object Detection. IROS 2020: 5792-5799 - [c8]Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. IV 2020: 877-884 - 2019
- [c7]Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning multimodal fixed-point weights using gradient descent. ESANN 2019 - [c6]Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer:
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. IV 2019: 667-674 - [c5]Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. IV 2019: 1280-1287 - 2018
- [c4]Di Feng, Lars Rosenbaum, Klaus Dietmayer:
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection. ITSC 2018: 3266-3273 - 2012
- [c3]Lars Rosenbaum, Andreas Jahn, Andreas Zell:
Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization. EvoBIO 2012: 26-37 - 2011
- [c2]Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Andreas Zell:
Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns. ESANN 2011 - [c1]Georg Hinselmann, Andreas Jahn, Nikolas Fechner, Lars Rosenbaum, Andreas Zell:
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis. EvoBio 2011: 123-134
Informal and Other Publications
- 2023
- [i12]Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zöllner:
Unscented Autoencoder. CoRR abs/2306.05256 (2023) - 2022
- [i11]Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser:
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. CoRR abs/2209.12729 (2022) - 2020
- [i10]Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. CoRR abs/2002.00216 (2020) - [i9]Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka:
Inferring Spatial Uncertainty in Object Detection. CoRR abs/2003.03644 (2020) - [i8]Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty. CoRR abs/2008.04168 (2020) - [i7]Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection. CoRR abs/2012.12195 (2020) - 2019
- [i6]Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer:
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. CoRR abs/1901.10609 (2019) - [i5]Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Fabian Duffhauss, Claudius Gläser, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. CoRR abs/1902.07830 (2019) - [i4]Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning Multimodal Fixed-Point Weights using Gradient Descent. CoRR abs/1907.07220 (2019) - [i3]Di Feng, Lars Rosenbaum, Claudius Gläser, Fabian Timm, Klaus Dietmayer:
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. CoRR abs/1909.12358 (2019) - 2018
- [i2]Di Feng, Lars Rosenbaum, Klaus Dietmayer:
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection. CoRR abs/1804.05132 (2018) - [i1]Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. CoRR abs/1809.05590 (2018)
Coauthor Index
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