@inproceedings{CreutzburgMcCallumKimetal.2018, author = {Creutzburg, Reiner and McCallum, Simon and Kim, Stefan and van R{\"u}schen, Raoul}, title = {Volumetric Terrain Rendering with WebGL}, series = {Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, 28. Januar bis 1. Februar 2018, Burlingame, Kalifornien, USA}, booktitle = {Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, 28. Januar bis 1. Februar 2018, Burlingame, Kalifornien, USA}, publisher = {Society for Imaging Science and Technology}, address = {Kilworth Lane / Springfield, Virginia, USA}, issn = {2470-1173}, doi = {10.2352/issn.2470-1173.2018.06.mobmu-136}, pages = {136-1 -- 136-14}, year = {2018}, language = {en} } @inproceedings{TetzlaffPurohitSpalleketal.2023, author = {Tetzlaff, Laura and Purohit, Anne-Maria and Spallek, Jacob and Holmberg, Christine and Schrader, Thomas}, title = {Evaluating Interoperability in German Critical Incident Reporting Systems}, series = {German Medical Data Sciences 2023 - Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany}, booktitle = {German Medical Data Sciences 2023 - Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany}, publisher = {IOS Press}, doi = {10.3233/SHTI230722}, pages = {249 -- 257}, year = {2023}, abstract = {In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness.}, language = {en} } @inproceedings{LepperOehlerKinzleretal.2023, author = {Lepper, Markus and Oehler, Michael and Kinzler, Hartmuth and Tranc{\´o}n y Widemann, Baltasar}, title = {Mathematische Remodellierung zur Erforschung der exakten Semantik einfacher konventioneller Notationssysteme}, series = {Notation. Schnittstelle zwischen Komposition, Interpretation und Analyse. 19. Jahreskongress der Gesellschaft f{\"u}r Musiktheorie Z{\"u}rich 2019 (GMTH Proceedings 2019)}, booktitle = {Notation. Schnittstelle zwischen Komposition, Interpretation und Analyse. 19. Jahreskongress der Gesellschaft f{\"u}r Musiktheorie Z{\"u}rich 2019 (GMTH Proceedings 2019)}, publisher = {Gesellschaft f{\"u}r Musiktheorie (GMTH) e.V.}, doi = {10.31751/p.257}, pages = {69 -- 85}, year = {2023}, abstract = {Das Projekt semPart - Semantik der Partitur versucht, durch {\"U}bertragung von Methoden der Informatik auf die musikalische Notation exakte Aussagen {\"u}ber deren Semantik zu erzielen. Dies geschieht durch Remodellierung, also durch das Erstellen kleiner mathematischer Modelle, die jeweils das historisch-kulturell bestimmte Dekodieren von isolierten Parameter-Schichten eines Notates nachbilden. Erstes wichtiges Ergebnis ist, dass es in keinem Bereich jemals eine einzige ›richtige‹ Definition von Syntax und Semantik geben kann, sondern einen Katalog von vielf{\"a}ltigen theoretisch m{\"o}glichen und in der Praxis auch angetroffenen Varianten. Diese sind durch ihre Remodellierung exakt identifizier- und benennbar; ihre Gesamtheit bildet ein Raster, durch das Notationsstile und -werkzeuge beschreib- und vergleichbar werden. Dieses Raster und die Remodelle sind besonders politisch wichtig, zur F{\"o}rderung einer {\"o}ffentlichen Diskussion von Notationssystemen und ihren Eigenschaften, da zunehmend die Arbeitsweise von digitalen Werkzeugen die notationelle Praxis zu {\"u}berformen und zu filtrieren droht. The project semPart - Semantics of the Musical Score tries to clarify the semantics of musical notation by applying methods from informatics. This is done by remodelling, i. e., constructing small mathematical models that mimic the mentally and culturally determined processes taking place when decoding isolated parameters in musical notation. The first important result is that there can never be one single 'correct' definition of semantics in any area but rather a catalogue of many theoretically possible variants encountered in practice. Through their remodelling, these can be precisely identified and named; their totality constitutes a classification grid applicable to styles, corpora, single scores and digital tools such as editors or encoding standards. This grid and the remodels are of particular political importance in promoting a public discussion on notation systems and their characteristics, given that the increasing use of digital processing systems threatens to over-shape and narrow down notational practice.}, language = {de} } @inproceedings{PepeBuchholzLasenby2024, author = {Pepe, Alberto and Buchholz, Sven and Lasenby, Joan}, title = {Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction}, series = {Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen}, booktitle = {Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen}, publisher = {PMLR}, pages = {1 -- 7}, year = {2024}, abstract = {We employ Clifford Group Equivariant Neural Network (CGENN) layers to predict protein coordinates in a Protein Structure Prediction (PSP) pipeline. PSP is the estimation of the 3D structure of a protein, generally through deep learning architectures. Information about the geometry of the protein chain has been proven to be crucial for accurate predictions of 3D structures. However, this information is usually flattened as machine learning features that are not representative of the geometric nature of the problem. Leveraging recent advances in geometric deep learning, we redesign the 3D projector part of a PSP architecture with the addition of CGENN layers . CGENNs can achieve better generalization and robustness when dealing with data that show rotational or translational invariance such as protein coordinates, which are independent of the chosen reference frame. CGENNs inputs, outputs, weights and biases are objects in the Geometric Algebra of 3D Euclidean space, i.e. G3,0,0, and hence are interpretable from a geometrical perspective. We test 6 approaches to PSP and show that CGENN layers increase the accuracy in term of GDT scores by up to 2.1\\%, with fewer trainable parameters compared to linear layers and give a clear geometric interpretation of their outputs.}, language = {en} } @inproceedings{PepeLasenbyBuchholz2024, author = {Pepe, Alberto and Lasenby, Joan and Buchholz, Sven}, title = {CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression}, series = {Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024}, booktitle = {Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024}, publisher = {IEEE}, doi = {10.1109/WACV57701.2024.00646}, pages = {6593 -- 6603}, year = {2024}, abstract = {We introduce CGAPoseNet+ GCAN, which enhances CGAPoseNet, an architecture for camera pose regression, with a Geometric Clifford Algebra Network (GCAN). With the addition of the GCAN we obtain a geometry-aware pipeline for camera pose regression from RGB images only. CGAPoseNet employs Clifford Geometric Algebra to unify quaternions and translation vectors into a single mathematical object, the motor, which can be used to uniquely describe camera poses. CGAPoseNet solves the issue of balancing rotation and translation components in the loss function, and can obtain comparable results to other approaches without the need of expensive tuning of the loss function or additional information about the scene, such as 3D point clouds, which might not always be available. CGAPoseNet, however, like several approaches in the literature, only learns to predict motor coefficients, and it is unaware of the mathematical space in which predictions sit in and of their geometrical meaning. By leveraging recent advances in Geometric Deep Learning, we modify CGAPoseNet with a GCAN: proposals of possible motor coefficients associated with a camera frame are obtained from the InceptionV3 backbone, and the GCAN downsamples them to a single motor through a sequence of layers that work in G_ 4, 0. The network is hence geometry-aware, has multivector-valued inputs, weights and biases and preserves the grade of the objects that it receives in input. CGAPoseNet+ GCAN has almost 4 million fewer trainable parameters, it reduces the average rotation error by 41\% and the average translation error by 8.8\% compared to CGAPoseNet. Similarly, it reduces rotation and translation errors by 32.6\% and 19.9\%, respectively, compared to the best performing PoseNet strategy. CGAPoseNet+ GCAN reaches the state-of-the-art results on 13 commonly employed datasets. To the best of our knowledge, it is the first experiment in GCANs applied to the problem of camera pose regression.}, language = {en} } @inproceedings{PepeLasenbyBuchholz2024, author = {Pepe, Alberto and Lasenby, Joan and Buchholz, Sven}, title = {GA-ReLU: an activation function for Geometric Algebra Networks applied to 2D Navier-Stokes PDEs}, series = {ICLR 2024 Workshop on AI4DifferentialEquations In Science, Wien, {\"O}sterreich}, booktitle = {ICLR 2024 Workshop on AI4DifferentialEquations In Science, Wien, {\"O}sterreich}, pages = {1 -- 6}, year = {2024}, abstract = {Many differential equations describing physical phenomena are intrinsically geometric in nature. It has been demonstrated how this geometric structure of data can be captured effectively through networks sitting in Geometric Algebra (GA) that work with multivectors, making them suitable candidates to solve differential equations. GA networks however, are still mostly uncharted territory. In this paper we focus on non-linearities, since applying them to multivectors is not a trivial task: they are generally applied in a point-wise fashion over each real-valued component of a multivector. This approach discards interactions between different elements of the multivector input and compromises the geometric nature of GA networks. To bridge this gap, we propose GA-ReLU, a GA approach to the rectified linear unit (ReLU), and show how it can improve the solution of Navier-Stokes PDEs.}, language = {en} } @inproceedings{TranconyWidemannLepper2024, author = {Tranc{\´o}n y Widemann, Baltasar and Lepper, Markus}, title = {Imagine There's No Source Code: Replay Diagnostic Location Information in Dynamic EDSL Meta-programming}, series = {MPLR 2024: Proceedings of the 21st ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes}, booktitle = {MPLR 2024: Proceedings of the 21st ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes}, editor = {Ertl, M. Anton and Kirsch, Christoph M.}, publisher = {ACM}, address = {New York}, doi = {10.1145/3679007.3685061}, pages = {1 -- 11}, year = {2024}, abstract = {Programs in embedded domain-specific languages are realized as graphs of objects of the host language rather than as static input texts. This property enables dynamic meta-programming, but also makes it harder to attach location information to diagnostic messages that arise at a later stage, after the program graph construction. Thus, EDSL-generating expressions and algorithms can be difficult to debug. Here, we present a technique for transparently capturing and replaying location information about the origin of EDSL program objects. It has been implemented in the context of the LLJava-live EDSL-to-bytecode compiler framework on the JVM. The basic idea can be generalized to other contexts, and to any managed runtime environment with reified stack traces}, language = {en} } @inproceedings{DoudkinKindsmueller2024, author = {Doudkin, Alexander and Kindsm{\"u}ller, Martin Christof}, title = {Do not touch! - An artistic climate data visualization using motion capturing and 3D computer graphics}, series = {Mensch und Computer 2024 - Workshopband, Gesellschaft f{\"u}r Informatik e.V., 01.-04. September 2024, Karlsruhe, German}, booktitle = {Mensch und Computer 2024 - Workshopband, Gesellschaft f{\"u}r Informatik e.V., 01.-04. September 2024, Karlsruhe, German}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Karlsruhe}, doi = {10.18420/muc2024-mci-demo-319}, pages = {1 -- 3}, year = {2024}, abstract = {This demo explores an innovative artistic installation that creatively visualizes global temperature data using graphical visualization and motion capture technologies. By combining video-based posture capturing of nearby individuals with a dynamically rendered 3D model of the planet Earth, this installation offers an interactive and immersive experience. The goal is to transform climate change data into an engaging visual format, making it more accessible and impactful for a wide range of audiences.}, language = {en} } @inproceedings{OrlowskiKnauffMarquardt2025, author = {Orlowski, Maximilian and Knauff, Emilia and Marquardt, Florian}, title = {Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs}, series = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal}, booktitle = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal}, publisher = {SCITEPRESS}, doi = {10.5220/0013175600003890}, pages = {695 -- 706}, year = {2025}, abstract = {This paper presents a coaching assistant for network operator processes based on a Retrieval-Augmented Gen- eration (RAG) system leveraging open-source Large Language Models (LLMs) as well as Embedding Models. The system addresses challenges in employee onboarding and training, particularly in the context of increased customer contact due to more complex and extensive processes. Our approach incorporates domain-specific knowledge bases to generate precise, context-aware recommendations while mitigating LLM hallucination. We introduce our systems architecture to run all components on-premise in an our own datacenter, ensuring data security and process knowledge control. We also describe requirements for underlying knowledge doc- uments and their impact on assistant answer quality. Our system aims to improve onboarding accuracy and speed while reducing senior employee workload. The results of our study show that realizing a coaching assistant for German network operators is reasonable, when addressing performance, correctness, integration and locality. However current results regarding accu- racy do not yet meet the requirements for productive use.}, language = {en} } @inproceedings{WagnerKitzelmannBoersch2025, author = {Wagner, Robin and Kitzelmann, Emanuel and Boersch, Ingo}, title = {Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference - a Systematic Literature Review}, series = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)}, booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)}, publisher = {Association for Computational Linguistics}, address = {Vienna}, doi = {10.18653/v1/2025.acl-srw.53}, pages = {795 -- 805}, year = {2025}, abstract = {Large Language Models (LLMs) demonstrate strong performance on different language tasks, but tend to hallucinate - generate plausible but factually incorrect outputs. Recently, several approaches to integrate Knowledge Graphs (KGs) into LLM inference were published to reduce hallucinations. This paper presents a systematic literature review (SLR) of such approaches. Following established SLR methodology, we identified relevant work by systematically search in different academic online libraries and applying a selection process. Nine publications were chosen for indepth analysis. Our synthesis reveals differences and similarities of how the KG is accessed, traversed, and how the context is finally assembled. KG integration can significantly improve LLM performance on benchmark datasets and additionally to mitigate hallucination enhance reasoning capabilities, explainability, and access to domain-specific knowledge. We also point out current limitations and outline directions for future work.}, language = {en} } @inproceedings{VielhauerLoewePilgermann2025, author = {Vielhauer, Claus and Loewe, Fabian and Pilgermann, Michael}, title = {Towards Modeling Hidden \& Steganographic Malware Communication based on Images}, series = {IH\&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security, San Jose, CA, USA, 2025}, booktitle = {IH\&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security, San Jose, CA, USA, 2025}, doi = {10.1145/3733102.3733152}, pages = {52 -- 63}, year = {2025}, abstract = {Recently, an increasing number of IT security incidents involving malware, which makes use of hidden and steganographic channels for malicious communication (a.k.a. as "stegomalware"), can be observed in the wild. Especially the use of images to hide malicious code is rising. In consideration of this shift, a new model is proposed in this paper, which aims to help security professionals to identify and analyze incidents revolving around steganographic malware in the future. The model focuses on practical aspects of steganalysis of communication data to elaborate linking properties to previous code analysis knowledge. The model features two distinct roles that interact with a knowledge base which stores malware features and helps building a context for the incident. For evaluation, two image steganography malware types are chosen from popular databases (malpedia and MITRE ATT\&CK®), which are analyzed in multiple steps including steganalysis and code analysis. It is conceptually shown, how the extracted features can be stored in a knowledge base for later use to identify stegomalware from communication data without the need of a thorough code analysis. This allows to uncover previously hidden meta-information about the examined malicious programs, enrich the incident's forensic context traces and thus allows for thorough forensic insights, including attribution and improved preventive security measures in the future.}, language = {en} } @inproceedings{QuernerEwerlingKindsmueller2025, author = {Querner, Erich and Ewerling, Philipp and Kindsm{\"u}ller, Martin Christof}, title = {Touch gets it done, tangibles make it fun? Balancing objective accuracy and user experience}, series = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, booktitle = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, publisher = {Gesellschaft f{\"u}r Informatik}, doi = {https://doi.org/10.18420/muc2025-mci-ws11-164}, pages = {1 -- 6}, year = {2025}, abstract = {This study compares Tangible User Interfaces (TUIs) with conventional touch interfaces (CTIs) on multi-touch tables for exploratory multi-user map applications. We developed a prototype that enables multiple users to interact with map content simultaneously and independently. Four interaction methods were implemented and evaluated: gesture-based touch control, widget-based touch joystick control, and two tangible interaction variants (a joystick and car-steering metaphor). A user study with 15 participants was conducted in which users navigated predefined routes with varying difficulty. We collected both objective performance measurements and subjective user assessments. While touch-based methods yielded higher accuracy in objective metrics, TUI-based interactions were rated significantly better by participants in terms of user experience. Notably, the car-steering tangible control was particularly well-received, highlighting how physical, playful interaction can enhance usability despite lower accuracy. These findings contribute to our understanding of how different interaction paradigms support collaborative exploration on multi-touch surfaces.}, language = {en} } @inproceedings{SimmeringPfeifferKindsmueller2025, author = {Simmering, Veronika and Pfeiffer, Thies and Kindsm{\"u}ller, Martin Christof}, title = {The Impact of Embodiment and Output Modality on Learning with Conversational Agents in VR}, series = {GI Workshop 2025 on Virtual and Augmented Reality : VR/AR 2025, Lecture Notes in Informatics (LNI), Gesellschaft f{\"u}r Informatik, Bonn 2025}, booktitle = {GI Workshop 2025 on Virtual and Augmented Reality : VR/AR 2025, Lecture Notes in Informatics (LNI), Gesellschaft f{\"u}r Informatik, Bonn 2025}, publisher = {Gesellschaft f{\"u}r Informatik}, issn = {2944-7682}, doi = {10.18420/vrar2025_12}, pages = {235 -- 254}, year = {2025}, abstract = {In Virtual Reality (VR) learning applications, the integration of pedagogical agents is particularly promising, as they function as a virtual social support. With the recent developments in Large Language Models (LLMs), conversational language models are now available that enable natural language interaction in a VR environment. We evaluated four possible designs for LLM-based agents (푛 = 21) in an aircraft-engine training. Focusing on the primary questions when bringing LLM-based agents into VR: whether to use text or speech and whether to embody the conversational agent in 3D or not. Pre- and post-tests were used to measure retention and questionnaires were used to measure the User Experience (UX) of different design variants. Contrary to our hypotheses, retention was higher when using a non-embodied design compared to an embodied design. The output modality did not have a significant impact on the learning success, but it did have an impact on the UX.}, language = {en} } @inproceedings{QuernerEwerlingKindsmueller2025, author = {Querner, Erich and Ewerling, Philipp and Kindsm{\"u}ller, Martin Christof}, title = {Setting the Stage for Collaboration: A Multi-View Table for Touch and Tangible Map Interaction}, series = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, booktitle = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, publisher = {Gesellschaft f{\"u}r Informatik}, doi = {10.18420/muc2025-mci-demo-318}, pages = {1 -- 4}, year = {2025}, abstract = {We present a multi-user map application based on a novel multiview concept that enables simultaneous and independent interaction with shared geospatial content. Each user operates a personal View Finder and Focus View, color-coded for clarity, while a shared, immutable Context View provides a common reference frame. The system supports both touch-based and tangible interaction techniques, including gesture control, virtual joysticks, and physical objects. Users can flexibly arrange their workspaces on a multi-touch table, supporting both individual exploration and collaborative tasks.}, language = {de} }