Unscented Autoencoder - Faris Janjos; Lars Rosenbaum; Maxim Dolgov; J. Marius Zoellner (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Unscented Autoencoder - Faris Janjos; Lars Rosenbaum; Maxim Dolgov; J. Marius Zöllner (CoRR, 2023)

Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection - Di Feng; Zining Wang; Yiyang Zhou; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer; Masayoshi Tomizuka; Wei Zhan (IEEE Trans. Intell. Transp. Syst., 2022)

DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars - Florian Drews; Di Feng; Florian Faion; Lars Rosenbaum; Michael Ulrich; Claudius Gläser (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars - Florian Drews; Di Feng; Florian Faion; Lars Rosenbaum; Michael Ulrich; Claudius Gläser (CoRR, 2022)

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Claudius Gläser; Fabian Timm; Werner Wiesbeck; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2021)

Inferring Spatial Uncertainty in Object Detection - Zining Wang; Di Feng; Yiyang Zhou; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer; Masayoshi Tomizuka; Wei Zhan (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021, 2020)

Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving - Di Feng; Yifan Cao; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (IEEE Intelligent Vehicles Symposium, IV 2020, Las Vegas, NV, USA, October 19 - November 13, 2020, 2020)

Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving - Di Feng; Yifan Cao; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (CoRR, 2020)

Inferring Spatial Uncertainty in Object Detection - Zining Wang; Di Feng; Yiyang Zhou; Wei Zhan; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer; Masayoshi Tomizuka (CoRR, 2020)

Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty - Di Feng; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (CoRR, 2020)

Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection - Di Feng; Zining Wang; Yiyang Zhou; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer; Masayoshi Tomizuka; Wei Zhan (CoRR, 2020)

Learning multimodal fixed-point weights using gradient descent - Lukas Enderich; Fabian Timm; Lars Rosenbaum; Wolfram Burgard (27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019, 2019)

Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector - Di Feng; Xiao Wei; Lars Rosenbaum; Atsuto Maki; Klaus Dietmayer (2019 IEEE Intelligent Vehicles Symposium, IV 2019, Paris, France, June 9-12, 2019, 2019)

Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection - Di Feng; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (2019 IEEE Intelligent Vehicles Symposium, IV 2019, Paris, France, June 9-12, 2019, 2019)

Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector - Di Feng; Xiao Wei; Lars Rosenbaum; Atsuto Maki; Klaus Dietmayer (CoRR, 2019)

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges - Di Feng; Christian Haase-Schütz; Lars Rosenbaum; Heinz Hertlein; Fabian Duffhauss; Claudius Gläser; Werner Wiesbeck; Klaus Dietmayer (CoRR, 2019)

Learning Multimodal Fixed-Point Weights using Gradient Descent - Lukas Enderich; Fabian Timm; Lars Rosenbaum; Wolfram Burgard (CoRR, 2019)

Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving - Di Feng; Lars Rosenbaum; Claudius Gläser; Fabian Timm; Klaus Dietmayer (CoRR, 2019)

Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection - Di Feng; Lars Rosenbaum; Klaus Dietmayer (21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018, 2018)

Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection - Di Feng; Lars Rosenbaum; Klaus Dietmayer (CoRR, 2018)

Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection - Di Feng; Lars Rosenbaum; Fabian Timm; Klaus Dietmayer (CoRR, 2018)

A ranking method for the concurrent learning of compounds with various activity profiles - Alexander Dörr; Lars Rosenbaum; Andreas Zell (J. Cheminformatics, 2015)

Interpretable Machine Learning Models for Mining Chemical Databases - Lars Rosenbaum (Eberhard Karls University of Tübingen, 2014)

Optimization and visualization of the edge weights in optimal assignment methods for virtual screening - Lars Rosenbaum; Andreas Jahn; Alexander Dörr; Andreas Zell (BioData Min., 2013)

Inferring multi-target QSAR models with taxonomy-based multi-task learning - Lars Rosenbaum; Alexander Dörr; Matthias R. Bauer; Frank M. Boeckler; Andreas Zell (J. Cheminformatics, 2013)

Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization - Lars Rosenbaum; Andreas Jahn; Andreas Zell (Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings, 2012)

jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints - Georg Hinselmann; Lars Rosenbaum; Andreas Jahn; Nikolas Fechner; Andreas Zell (J. Cheminformatics, 2011)

Interpreting linear support vector machine models with heat map molecule coloring - Lars Rosenbaum; Georg Hinselmann; Andreas Jahn; Andreas Zell (J. Cheminformatics, 2011)

4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening - Andreas Jahn; Lars Rosenbaum; Georg Hinselmann; Andreas Zell (J. Cheminformatics, 2011)

Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics - Georg Hinselmann; Lars Rosenbaum; Andreas Jahn; Nikolas Fechner; Claude Ostermann; Andreas Zell (J. Chem. Inf. Model., 2011)

Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns - Georg Hinselmann; Lars Rosenbaum; Andreas Jahn; Andreas Zell (19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings, 2011)

Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis - Georg Hinselmann; Andreas Jahn; Nikolas Fechner; Lars Rosenbaum; Andreas Zell (Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings, 2011)