The interplay of microscopic and mesoscopic structure in complex networks - Joerg Reichardt; Roberto Alamino; David Saad (CoRR, 2010)

Protein Interaction Networks - More Than Mere Modules. - Stefan Pinkert; Jörg Schultz; Jörg Reichardt (PLoS Comput. Biol., 2010)

Information Symmetries in Irreversible Processes - Christopher J. Ellison; John R. Mahoney; Ryan G. James; James P. Crutchfield; Joerg Reichardt (CoRR, 2011)

Comparative Study for Inference of Hidden Classes in Stochastic Block Models - Pan Zhang; Florent Krzakala; Jörg Reichardt; Lenka Zdeborová (CoRR, 2012)

Motifs in Triadic Random Graphs based on Steiner Triple Systems - Marco Winkler; Joerg Reichardt (CoRR, 2013)

Node-Specific Triad Pattern Mining for Complex-Network Analysis. - Marco Winkler; Joerg Reichardt (ICDM Workshops, 2014)

Node-Specific Triad Pattern Mining: A Novel Tool for Complex-Network Analysis. - Marco Winkler; Jörg Reichardt (CoRR, 2014)

Discriminating between causal structures in Bayesian Networks given partial observations. - Philipp Moritz; Jörg Reichardt; Nihat Ay (Kybernetika, 2014)

The Sentinel-4 UVN focal plane assemblies. - Jürgen Hinger; Rüdiger Hohn; Eyk Gebhardt; Jörg Reichardt (Earth Observing Systems, 2017)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - 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; et al. (CoRR, 2022)

An Empirical Bayes Analysis of Vehicle Trajectory Models. - Yue Yao; Daniel Goehring; Joerg Reichardt (CoRR, 2022)

An Empirical Bayes Analysis of Object Trajectory Representation Models. - Yue Yao; Daniel Goehring; Joerg Reichardt (ITSC, 2023)

Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. - Mohamed-Khalil Bouzidi; Yue Yao; Daniel Goehring; Joerg Reichardt (ICRA, 2024)

Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. - Yue Yao; Shengchao Yan; Daniel Goehring; Wolfram Burgard; Joerg Reichardt (IROS, 2024)

Motion Planning Under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. - Mohamed-Khalil Bouzidi; Bojan Derajic; Daniel Goehring; Joerg Reichardt (ITSC, 2024)

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness. - Yue Yao; Daniel Goehring; Joerg Reichardt (CoRR, 2025)

Reachability-Based Contingency Planning against Multi-Modal Predictions with Branch MPC. - Mohamed-Khalil Bouzidi; Bojan Derajic; Daniel Goehring; Joerg Reichardt (CoRR, 2025)

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks. - Mohamed-Khalil Bouzidi; Christian Schlauch; Nicole Scheuerer; Yue Yao; Nadja Klein; Daniel Göhring; Jörg Reichardt (CoRR, 2025)

EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations. - Yue Yao; Mohamed-Khalil Bouzidi; Daniel Goehring; Joerg Reichardt (IEEE Robotics Autom. Lett., 2025)