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ORCIDJörg Reichardt
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2020 – today
- 2024
[c5]Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt:
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. ICRA 2024: 14265-14271- [c4]Yue Yao, Shengchao Yan, Daniel Goehring, Wolfram Burgard, Joerg Reichardt:
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. IROS 2024: 488-495 - [i10]Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring, Joerg Reichardt:
Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. CoRR abs/2405.03470 (2024) - [i9]Yue Yao, Shengchao Yan, Daniel Goehring, Wolfram Burgard, Joerg Reichardt:
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. CoRR abs/2407.13431 (2024) - 2023
- [c3]Yue Yao, Daniel Goehring, Joerg Reichardt:
An Empirical Bayes Analysis of Object Trajectory Representation Models. ITSC 2023: 902-909 - [i8]Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt:
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. CoRR abs/2310.02918 (2023) - 2022
- [i7]Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern
, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - [i6]Yue Yao, Daniel Goehring, Joerg Reichardt:
An Empirical Bayes Analysis of Vehicle Trajectory Models. CoRR abs/2211.01696 (2022)
2010 – 2019
- 2017
- [c2]Jürgen Hinger, Rüdiger Hohn, Eyk Gebhardt, Jörg Reichardt:
The Sentinel-4 UVN focal plane assemblies. Earth Observing Systems 2017: 1040217 - 2014
- [j2]Philipp Moritz, Jörg Reichardt, Nihat Ay:
Discriminating between causal structures in Bayesian Networks given partial observations. Kybernetika 50(2): 284-295 (2014) - [c1]Marco Winkler, Joerg Reichardt:
Node-Specific Triad Pattern Mining for Complex-Network Analysis. ICDM Workshops 2014: 605-612 - [i5]Marco Winkler, Jörg Reichardt:
Node-Specific Triad Pattern Mining: A Novel Tool for Complex-Network Analysis. CoRR abs/1410.1594 (2014) - 2013
- [i4]Marco Winkler, Joerg Reichardt:
Motifs in Triadic Random Graphs based on Steiner Triple Systems. CoRR abs/1304.2924 (2013) - 2012
- [i3]Pan Zhang, Florent Krzakala, Jörg Reichardt, Lenka Zdeborová:
Comparative Study for Inference of Hidden Classes in Stochastic Block Models. CoRR abs/1207.2328 (2012) - 2011
- [i2]Christopher J. Ellison, John R. Mahoney, Ryan G. James, James P. Crutchfield, Joerg Reichardt:
Information Symmetries in Irreversible Processes. CoRR abs/1107.2168 (2011) - 2010
- [j1]Stefan Pinkert, Jörg Schultz, Jörg Reichardt:
Protein Interaction Networks - More Than Mere Modules. PLoS Comput. Biol. 6(1) (2010) - [i1]Joerg Reichardt, Roberto Alamino, David Saad:
The interplay of microscopic and mesoscopic structure in complex networks. CoRR abs/1012.4524 (2010)
Coauthor Index
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