PPRS: Production skills and their relation to product, process, and resource. - Julius Pfrommer; Miriam Schleipen; Jürgen Beyerer (ETFA, 2013)

Modelling and orchestration of service-based manufacturing systems via skills. - Julius Pfrommer; Denis Stogl; Kiril Aleksandrov; Viktor Schubert; Björn Hein (ETFA, 2014)

Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems. - Julius Pfrommer; Joseph Warrington; Georg Schildbach; Manfred Morari (IEEE Trans. Intell. Transp. Syst., 2014)

Open source as enabler for OPC UA in industrial automation. - Florian Palm; Sten Grüner; Julius Pfrommer; Markus Graube; Leon Urbas (ETFA, 2015)

Exploration/Exploitation in Stochastic Distributed Constraint Optimization Settings. - Julius Pfrommer (PAAMS (Special Sessions), 2015)

A RESTful extension of OPC UA. - Sten Grüner; Julius Pfrommer; Florian Palm (WFCS, 2015)

Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems. - Julius Pfrommer; Denis Stogl; Kiril Aleksandrov; Stefan Escaida Navarro; Björn Hein; Jürgen Beyerer (Autom., 2015)

Towards Flexibility in Future Industrial Manufacturing: A Global Framework for Self-organization of Production Cells. - Selma Azaiez; Michael Boc; Loïc Cudennec; Max Da Silva Simoes; Jens Haupert; Selma Kchir; Xenia Klinge; Wael Labidi; Karima Nahhal; Julius Pfrommer; Miriam Schleipen; Christian Schulz 009; et al. (ANT/SEIT, 2016)

Deploying software functionality to manufacturing resources safely at runtime. - Julius Pfrommer; Miriam Schleipen; Selma Azaiez; Michael Boc; Loïc Cudennec; Selma Kchir; Xenia Klinge (ETFA, 2016)

Semantic Interoperability at Big-Data Scale with the open62541 OPC UA Implementation. - Julius Pfrommer (InterOSS@IoT, 2016)

Hybrid OPC UA and DDS: Combining architectural styles for the industrial internet. - Julius Pfrommer; Sten Grüner; Florian Palm (WFCS, 2016)

A common core for information modeling in the Industrial Internet of Things. - Julius Pfrommer; Sten Grüner; Thomas Goldschmidt; Dirk Schulz 002 (Autom., 2016)

RESTful Industrial Communication With OPC UA. - Sten Grüner; Julius Pfrommer; Florian Palm (IEEE Trans. Ind. Informatics, 2016)

One step towards an industry 4.0 component. - Arndt Lüder; Miriam Schleipen; Nicole Schmidt; Julius Pfrommer; Robert Henssen (CASE, 2017)

Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication. - Julius Pfrommer; Andreas Ebner; Siddharth Ravikumar; Bhagath Karunakaran (ETFA, 2018)

Übertragung eines Vorgehensmodells zur KI-Integration von der Industrie auf Umweltinformationssysteme. - Désirée Hilbring; Julius Pfrommer (GI-Jahrestagung, 2020)

Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods. - Bernd Zimmering; Oliver Niggemann; Constanze Hasterok; Erik Pfannstiel; Dario Ramming; Julius Pfrommer (Sensors, 2021)

Distributed Planning for Self-Organizing Production Systems - Julius Pfrommer (2021)

AI Systems Engineering - systematic development and operation of AI-based systems. - Jürgen Beyerer; Julius Pfrommer; Thomas Usländer (Autom., 2022)

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. - Gisela Lanza; Tamim Asfour; Jürgen Beyerer; Barbara Deml; Jürgen Fleischer; Michael Heizmann; Kai Furmans; Constantin Hofmann; Alexander Cebulla; Christian R. G. Dreher; Jan-Philipp Kaiser; Jan-Felix Klein; et al. (Autom., 2022)

An ontology for remanufacturing systems. - Julius Pfrommer; Jan-Felix Klein; Marco Wurster; Simon Rapp; Patric Grauberger; Gisela Lanza; Albert Albers; Sven Matthiesen; Jürgen Beyerer (Autom., 2022)

KI-Engineering - AI Systems Engineering. - Julius Pfrommer; Thomas Usländer; Jürgen Beyerer (Autom., 2022)

Attention-based Part Assembly for 3D Volumetric Shape Modeling. - Chengzhi Wu; Junwei Zheng; Julius Pfrommer; Jürgen Beyerer (CVPR Workshops, 2023)

Attention-Based Point Cloud Edge Sampling. - Chengzhi Wu; Junwei Zheng; Julius Pfrommer; Jürgen Beyerer (CVPR, 2023)

Reduce the Handicap: Performance Estimation for AI Systems Safety Certification. - Julius Pfrommer; Matthieu Poyer; Saksham Kiroriwal (INDIN, 2023)

Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs. - Josephine Rehak; Anouk Sommer; Maximilian Becker; Julius Pfrommer; Jürgen Beyerer (INDIN, 2023)

SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning. - Chengzhi Wu; Linxi Qiu; Kanran Zhou; Julius Pfrommer; Jürgen Beyerer (VISIGRAPP (4: VISAPP), 2023)

Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. - Chengzhi Wu; Xuelei Bi; Julius Pfrommer; Alexander Cebulla; Simon Mangold; Jürgen Beyerer (WACV, 2023)

Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input. - Chengzhi Wu; Julius Pfrommer; Mingyuan Zhou; Jürgen Beyerer (CoRR, 2023)

Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding. - Chengzhi Wu; Julius Pfrommer; Jürgen Beyerer; Kangning Li; Boris Neubert (CoRR, 2023)

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. - Chengzhi Wu; Kanran Zhou; Jan-Philipp Kaiser; Norbert Mitschke; Jan-Felix Klein; Julius Pfrommer; Jürgen Beyerer; Gisela Lanza; Michael Heizmann; Kai Furmans (CoRR, 2023)

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. - Laura von Rüden; Sebastian Mayer; Katharina Beckh; Bogdan Georgiev; Sven Giesselbach; Raoul Heese; Birgit Kirsch; Julius Pfrommer; Annika Pick; Rajkumar Ramamurthy; Michal Walczak; Jochen Garcke; et al. (IEEE Trans. Knowl. Data Eng., 2023)

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning. - Chengzhi Wu; Qianliang Huang; Kun Jin; Julius Pfrommer; Jürgen Beyerer (3DV, 2024)

A Query Language for OPC UA Event Filters. - Florian Duewel; Andreas Ebner; Julius Pfrommer (ETFA, 2024)

Rethinking Attention Module Design for Point Cloud Analysis. - Chengzhi Wu; Kaige Wang; Zeyun Zhong; Hao Fu; Junwei Zheng; Jiaming Zhang; Julius Pfrommer; Jürgen Beyerer (ICPR (26), 2024)

A OPC UA Based Execution Engine for Production Control in Decentral Organized Manufacturing. - Andreas Ebner; Florian Duewel; Julius Pfrommer (INDIN, 2024)

Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes. - Saksham Kiroriwal; Julius Pfrommer; Hendrik Mende; Robert H. Schmitt; Jürgen Beyerer (INDIN, 2024)

Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach. - Chengzhi Wu; Julius Pfrommer; Mingyuan Zhou; Jürgen Beyerer (IEEE Trans. Multim., 2024)

Self-learning and autonomously adapting manufacturing equipment for the circular factory. - Jürgen Fleischer; Frederik Zanger; Volker Schulze 001; Gerhard Neumann; Nicole Stricker; Kai Furmans; Julius Pfrommer; Gisela Lanza; Malte Hansjosten; Patrick Fischmann; Julia Dvorak; Jan-Felix Klein; et al. (Autom., 2024)

The role of an ontology-based knowledge backbone in a circular factory. - Constantin Hofmann; Steffen Staab; Michael Selzer; Gerhard Neumann; Kai Furmans; Michael Heizmann; Jürgen Beyerer; Gisela Lanza; Julius Pfrommer; Tobias Düser; Jan-Felix Klein (Autom., 2024)

SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity. - Chengzhi Wu; Yuxin Wan; Hao Fu; Julius Pfrommer; Zeyun Zhong; Junwei Zheng; Jiaming Zhang; Jürgen Beyerer (CVPR, 2025)

Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference. - Saksham Kiroriwal; Julius Pfrommer; Jürgen Beyerer (CoRR, 2025)

6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly. - Chengzhi Wu; Hao Fu; Jan-Philipp Kaiser; Erik Tabuchi Barczak; Julius Pfrommer; Gisela Lanza; Michael Heizmann; Jürgen Beyerer (CoRR, 2025)