• Computer Science Education Initiative – CZS KID (2026 – 2033)
  Participation in other joint Project: Carl-Zeiss-Stiftung | Project Number: P2023-10-001
• CRC 1450 - Z01: Interactive and computational analysis of large multiscale imaging data (2025 – 2028)
  Subproject in DFG-Joint Project Hosted at University of Münster: DFG - Sonderforschungsbereich | Project Number: SFB 1450/2, Z01
• Structured Code Generation for Deep-Learning Computations via Multi-Dimensional Homomorphisms – MDH.DL (2025 – 2028)
  Individual Granted Project: DFG - Sachbeihilfe/Einzelförderung | Project Number: GO 756/8-2
• Multifaceted Data Visualization: A unifying concept for analyzing spatio-temporal data ensemble – MFacet (2025 – 2028)
  Individual Granted Project: DFG - Sachbeihilfe/Einzelförderung | Project Number: LI 1530/32-1
• Pigments - Properties and influences on the product quality of industrial paints and other surface coatings – Pig-Pro-QuO (2025 – 2028)
  Individual Granted Project: EFRE/JTF-Programm - Innovationswettbewerb Industrie.IN.NRW | Project Number: EFRE-20800669; EFRE-20800668
• Development and validation of a multimodal, non-rigid registration method for hybrid imaging of the breast – REPOSE-Breast (2026 – 2027)
  Internally at the University of Münster Funded Project: Innovative Medizinische Forschung
• SPP 2363 - Subproject: Elucidating Fingerprints – Towards a Holistic Explanatory Toolbox for Molecular Machine Learning – EXFP-MML (2022 – 2027)
  Subproject in DFG-Joint Project Hosted at University of Münster: DFG - Schwerpunktprogramm | Project Number: GL 349/15-1; JI 104/10-1
• Safe Integration of Learning In Autonomous cyber-physical Systems – Safe ILIAS (2024 – 2027)
  Individual Granted Project: DFG - Sachbeihilfe/Einzelförderung | Project Number: HE 6733/5-1
• Retrospective CT examinations of clavicular ossification - development of a clinical decision support system based on classical scale-based assessments and modern machine learning methodology to improve the validity and reliability of forensic age assessments – Clavicle-ML (2024 – 2027)
  Individual Granted Project: DFG - Sachbeihilfe/Einzelförderung | Project Number: LI 1530/31-1; SCHM 1609/8-1
• HAPPI - Human-aware PGMs and Probabilistic Inference via Lifted Model Reconciliation – HAPPI (2024 – 2026)
  Individual Granted Project: MKW - Förderlinie „Künstliche Intelligenz/Maschinelles Lernen“ - KI-Starter | Project Number: 005-2401-0004
• Tutor.AI (since 2024)
  Own Resources Project
• Automatische Skalierbarkeit in verteilten Systemen mit Echtzeit-Anforderungen (2018 – 2026)
  Individual Granted Project: GS electronic Gebr. Schönweitz GmbH
• SystemC to Timed Automata Transformation Engine – STATE (since 2018)
  Own Resources Project
• Applied IoT Data Analytics (since 2017)
  Own Resources Project
• Query Processing (since 2014)
  Own Resources Project
• Metric and Ptolemaic Access Methods (since 2011)
  Own Resources Project
• Similarity Search (since 2011)
  Own Resources Project

• 2027
• 2026
• 2025

2027

• Stübbe, Jonas, Lauenroth, Felix, da Silva, Carina, and Remke, Anne. 2027. “Guided Discrete-Event Simulation for SHM via Symbolic Precomputation and Q-Learning.” in Leveraging Applications of Formal Methods, Verification and Validation. X-by-Construction Meets Intersymbolic AI., Vol. 17144 of Lecture Notes in Computer Science, edited by Tiziana Margaria and Bernhard Steffen. Kos: Springer Nature. doi: 10.1007/978-3-032-40121-2_11.

2026

• Gol, Sabbagh R., Evers, M., Heimes, K., Gerrits, T., Gyawali, S., Sinden, D., Preusser, T., and Linsen, L. 2026. “Visual Ensemble Analysis With Deep Learning Prediction for Studying the Effect of Tissue Properties on Radiofrequency Ablation.” Computer Graphics Forum e70428. doi: 10.1111/cgf.70428.
• Wolff, Matthias, Alesiani, Francesco, Duhme, Christof, and Jiang, Xiaoyi. 2026. “Clifford Kolmogorov-Arnold Networks.” in Proc. of IJCNN, edited by IEEE. Maastricht, Netherlands: Wiley-IEEE Computer Society Press. doi: 10.1109/IJCNN69854.2026.11728617.
• Herick, Maria. 2026. “Geometry-Inspired Approximation Algorithms for Persistent Homology.” Dissertation thesis, Universität Münster. doi: 10.17879/87898570411.
• Liebig, Juri, Gorlatch, Sergei, and Zerbe, Denny. 2026. “Towards Solving the Noisy Neighbor Problem in Containerized Cloud Applications.” in Proceedings of the 2026 15th International Conference on Software and Computer Applications, ICSCA '26, edited by for Computing Machinery Association. New York, United States: ACM Press. doi: 10.1145/3801619.3801680.
• Duhme, Christof, Schiefelbein, Lars, Büther, Florian, and Jiang, Xiaoyi. 2026. “BMND: Direct Poisson Denoising by N-Dimensional Block Matching and Collaborative Filtering.” Preprint. arXiv doi: 10.48550/arXiv.2609.34622.
• Becker-Kupczok, Jonas, Ernst, Lukas, and Herber, Paula. 2026. “Automated Abstraction Refinement for Information Flow Security in Embedded Systems.” Preprint. arXiv doi: 10.48550/arXiv.2609.29645.
• Speller, Jan, Luttermann, Malte, Gehrke, Marcel, and Braun, Tanya. 2026. “Inducing Comparability of Factorised Probability Distributions.” Preprint. arXiv doi: 10.48550/arXiv.2607.20502.
• Rave, Hennes, Molchanov, Vladimir, Tatsukawa, Yuki, Ngo, Quynh Quang, Frey, Steffen, Igarashi, Takeo, and Linsen, Lars. 2026. “Multiresolution Density-Equalizing Transformation for Scatterplots.” IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2026.3713630.
• Schick, Johannes, Wagner, Marc, and Lippe, Wolfram-Manfred. 2026. “Finite State Machines in the Context of Knowledge Based Transformations (Invited).” in Proceedings of the International Conference on AI x Business (AIxB 2025), edited by IEEE Computer Society, or the Institute of Electrical and Electronics Engineers, Inc.. Piscataway, NJ: Wiley-IEEE Computer Society Press. doi: 10.1109/AIxB65684.2025.00021.
• Duhme, Christof, Eilers, Florian, and Jiang, Xiaoyi. 2026. “Exploring Sparsity and Smoothness of Arbitrary lp-Norms in Adversarial Attacks.” Preprint. arXiv doi: 10.48550/arXiv.2602.06578.
• Eilers, Florian, Duhme, Christof, and Jiang, Xiaoyi. 2026. “Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks.” Preprint. arXiv doi: 10.48550/arXiv.2602.06577.
• Yaakob, Razali, F. AL-Shahad, Huda, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina, Abu Hassan, Hasyma, and Jiang, Xiaoyi. in Kürze. “A Deep Learning Approach for Three-Dimensional Thyroid Nodule Detection from Ultrasound Images.” CMES - Computer Modeling in Engineering and Sciences 146 (3): 36.
• Junfu, Chen, Dechang, Pi, Xiaoyi, Jiang, Feng, Gao, Qiao, Yang, and Yang, Chen. in Kürze. “EEGcMamba: EEG Clustering via State Space Model.” IEEE Transactions on Artificial Intelligence.
• Enpeng, Wang, Jiangchang, Xu, Yueang, Liu, Puxun, Tu, Junfeng, Wang, Xiaoyi, Jiang, and Xiaojun, Chen. 2026. “Robust self-supervised monocular depth estimation for endoscopic soft tissue deformation scenes with biomechanical constraints.” IEEE Transactions on Image Processing 35: 556–568.
• Bickmann, Lucas, Rodriguez, Marias, Jiang, Xiaoyi, and Makalowski, Wojciech. 2026. “Transformer-based classification of transposable element consensus sequences with TEclass2.” Biology 15: 59.
• Lenfers, Johannes, Spehr, Sven, Dieckmann, Justus, Jansen, Johannes, Lücke, Martin Paul, and Gorlatch, Sergei. 2026. “Schedgehammer: Auto-tuning Compiler Optimizations beyond Numerical Parameters.” in Proceedings of the 35th ACM SIGPLAN International Conference on Compiler Construction, edited by for Computing Machinery Association. New York: ACM Press. doi: 10.1145/3771775.3786282.
• Herber, P, Osama, M, and Wijs, A. 2026. “Research software from the integrated Formal Methods (iFM) conference 2023.” Science of Computer Programming 248: 103384–103384. doi: 10.1016/j.scico.2025.103384.
• Forshaw, Matthew, Alexandru, Adriana, Bentley, Caitlin, González-Zelaya, Vladimiro, Ajanovski, Vangel, Bikanga Ada, Mireilla, Brooks, Julian, Burridge, Joshua, Chao, Alex, Engineer, Rutwa, Glebova, Olga, Islam, Tasmina, Kiyohara, Mitsuka, Ko, Shao-Heng, Kristbergsson, Elert Smári, Peltsverger, Svetlana, Russell, Seán, Samary, Maíra Marques, Steenbergen, Merel, and Wortmann, Carolin. 2026. “Fairness in Student Group Formation: Perspectives, Priorities, Compromises, Mechanisms, and Tooling.” in 2025 Working Group Reports on Innovation and Technology in Computer Science Education (ITiCSE-WGR 2025), edited by Korhonen, Ari; Lovellette, Ellie. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3760545.3783973.
• Junfu, Chen, Xiaoyi, Jiang, Feng, Gao, Yang, Chen, and Dechang, Pi. 2026. “EEGcUCC: Semi-Supervised Deep EEG Clustering with Union Constraint Learning and Contrastive Learning.” Pattern Recognition 177: 113376.
• Ni, Xiao, Kühnel, Carsten, and Jiang, Xiaoyi. in Kürze. “Thermal Detection of People with Mobility Restrictions for Barrier Reduction at Traffic Lights Controlled Intersections.” IEEE Open Journal of Intelligent Transportation Systems.
• Vahrenhold, Jan, Niemann, Jan, and Drossel, Kerstin. 2026. “Computational Thinking in ICILS 2023: Analyzing the Construct and Its Antecedent- and Process-Level Predictors.” Preprint. ACM Transactions on Computing Education 26 (4): 1–26. doi: 10.1145/3813115.
• Hengsbach, T., Kathöfer, P., Hourani, K., Borrelli, G., Gerasimova, M., Miro, T., Gol, R.S., Uedemann, J., and Linsen, L. 2026. “2025 IEEE Scientific Visualization Contest Winner: A Comprehensive Visual Exploration Tool for Multivariate Multi-Objective Optimization of Aluminum Alloy Compositions.” Preprint. IEEE Computer Graphics and Applications Early Access. doi: 10.1109/MCG.2026.3678413.
• Thorgeirsson, Sverrir, and Vahrenhold, Jan. 2026. “How (and How Not) Do Code Complexity Measures Predict Cognitive Load?” in ICER '26: Proceedings of the 2026 ACM Conference on International Computing Education Research Vol. 1, edited by Neil C. C. Brown and Kristin Searle. New York, NY: ACM Press. doi: 10.1145/3765964.3811665.
• Fischer, Mathias, Garcia-Alfaro, Joaquin, Kesdogan, Dogan, and Mann, Zoltán Ádám. 2026. “Secure Communication Networks and Distributed Systems for a Resilient Society.” Computers and Security 162 104791. doi: 10.1016/j.cose.2025.104791.
• Batool, Kanwal, Anwar, Saleem, Regazzoni, Francesco, Pimentel, Andy, and Mann, Zoltán Ádám. 2026. “SwiftSNNI: Optimized Scheduling for Secure Neural Network Inference (SNNI) on Multi-Core Systems.” in ICPE '26: Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering, edited by Roberto Verdecchia, Catia Trubiani, Radu Calinescu and Ana Lucia Verbanescu. New York: ACM Press. doi: 10.1145/3777884.3797005.
• Gorlatch, S., Garanina, N., Anureev, I., and Kondratyev, D. 2026. “SAFE MUTATIONS OF COMMUNICATION PROTOCOLS.” Journal of Mathematical Sciences -. doi: 10.1007/s10958-026-08465-5.
• Makhmut, Y, Imankulov, T, Gorlatch, S, and Matkerim, B. 2026. “A CUDA Performance Study of Global- and Shared-Memory Kernels for the Buckley–Leverett Polymer-Flooding Problem.” Applied Sciences 16 (5449). doi: 10.3390/app16115449.
• Pouls, Kevin, Hamid, Sagad, Sensmeier, Leonard, Eiling, Fabian, Menne, Jan, Oehme, Mathias, Pfeifer, Max, Ridder, Fabian, Tepe, Mika, and Braun, Tanya. in Kürze. “Towards Unsupervised Anomaly Detection and Clustering of Defects in Electrode Surface Inspection.” in Proceedings of the 20th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2026
• Luttermann, Malte, Braun, Tanya, Möller, Ralf, and Gehrke, Marcel. 2026. “Lifted Causal Inference.” Preprint. Annals of Mathematics and Artificial Intelligence S806. doi: 10.1007/s10472-026-10009-1.
• Braun, Tanya, Gehrke, Marcel, Sauerwald, Kai, and Speller, Jan. in Kürze. “Variable Elimination for Forgetting in Probabilistic Graphical Models - A Work in Progress.” Preprint. in Joint proceedings of the Workshop on Theory and Methods for Abstraction (THEMA 2026) and the Workshop on Modularity and Splitting Techniques for Knowledge Representation and Reasoning (MoST 2026) at the 9th Federated Logic Conference (FLoC 2026), edited by Christoph Beierle, Alexander Hahn, Gabriele Kern-Isberner, Oliver Kutz, Zeynep G. Saribatur, Kai Sauerwald and Lars-Philllip Spiegel.
• Karabulut, Nazlı Nur, and Braun, Tanya. 2026. “Indistinguishable Agents in Decentralised POMDPs.” Preprint. in Informal Proceedings of the LAMAS&SR-26 Workshop on Logical Aspects of Multi-Agent Systems and Strategic Reasoning 2026
• Hamid, Sagad, Lee, Dohoo, Kong, Myeong, Braun, Tanya, and Yoo, Jaemin. 2026. “A Probabilistic Circuit Framework for Interpretable Graph PU Learning.” in UAI-26 Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence, edited by Emilija Perković and Daniel Malinsky. Cambridge: MLResearchPress.
• Luttermann, Malte, Speller, Jan, Braun, Tanya, Gehrke, Marcel, and Möller, Ralf. in Kürze. “Lifted Model Construction under Approximate Commutativity.” in SUM-26 Proceedings of the 17th International Conference on Scalable Uncertainty Management, edited by Inès Couso, Michael Sioutis and Petros Stefaneas. Heidelberg: Springer Nature.
• Rave, Hennes, Kronenberg, Katharina, Gödde, Hannes, Tobergte, Lea, Holtkamp, Michael, Werner, Julia, Bohrer, Peter, Lohöfer, Fabian, Braren, Rickmer, Clases, David, Karst, Uwe, and Linsen, Lars. 2026. “MIA: A Visual Analytics System for Multimodal Spectral Imaging Data.” Computers and Graphics 139 104727. doi: 10.1016/j.cag.2026.104727.
• Cai, Yuxin, Huang, Yanyong, Chang, Jinyuan, Wang, Dongjie, Li, Tianrui, and Jiang, Xiaoyi. in Kürze. “Joint Learning of Unsupervised Multi-view Feature and Instance Co-selection with Cross-view Imputation.” IEEE Transactions on Knowledge and Data Engineering.
• Florian, Eilers, and Xiaoyi, Jiang. in Kürze. “DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence.
• Fuchs, Aileen, Schaeg, Frederik, Eilers, Florian, Duhme, Christof, Jiang, Xaoyi, Masthoff, Max, Rahbar, Kambiz, Köhler, Michael, and Stegger, Lars. 2026. “Variation in tumor segmentation between inexperienced and experienced observers using contrast-enhanced SPECT/CT and its implications for predictive dosimetry in selective internal radiation therapy (SIRT).” 4. edt. EANM Innovation doi: 10.1016/j.eanmi.2026.100303.
• Karabulut, Nazlı Nur, and Braun, Tanya. in Kürze. “The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting.” in SUM-26 Proceedings of the 17th International Conference on Scalable Uncertainty Management, edited by Inès Couso, Michael Sioutis and Petros Stefaneas. Heidelberg: Springer Nature.
• Hamid, Sagad, and Braun, Tanya. in Kürze. “On Probabilistic Inference Through Parametric Tensor Decomposition in Base Tensor Networks.” in SUM-26 Proceedings of the 17th International Conference on Scalable Uncertainty Management, edited by Inès Couso, Michael Sioutis and Petros Stefaneas. Heidelberg: Springer Nature.
• Blohm, Pauline, Remke, Anne, and Herber, Paula. 2026. “Towards Quantitative Analysis of Intelligent Simulink Models Using Stochastic Hybrid Automata.” in Leveraging Applications of Formal Methods, Verification and Validation. X-by-Construction Meets Intersymbolic AI., Vol. 17144 of Lecture Notes in Computer Science, edited by Tiziana Margaria and Bernhard Steffen. Kos: Springer Nature. doi: 10.1007/978-3-032-40121-2_10.
• Nardelli, Enrico, Vahrenhold, Jan, and Yakaryılmaz, Abuzer. 2026. “Academia–Industry Collaboration: Capstone Projects - Practices Across Informatics Europe Member Institutions.” Zürich: Informatics Europe. doi: 10.5281/zenodo.23497468.
• Liebig, Juri, and Gorlatch, Sergei. 2026. “Software Reengineering for Fixing Design Smells in Legacy Networked Systems.” in ICCCM '26: Proceedings of the 14th International Conference on Computer and Communications Management, edited by for Computing Machinery Association. New York, NY, USA: ACM Press. doi: 10.1145/3841323.3841336.
• M, SUCHITHRA, Kumar, Suyash S, Pandey, Anushka, and Gorlatch, Sergei. 2026. “A Chunk-Weighted, Structure-Aware Approach to Information Retrieval Based on Non-Agentic AI.” in Proceedings of the 14th International Conference on Computer and Communications Management, edited by for Computing Machinery Association. New York, NY, USA: ACM Press. doi: 10.1145/3841323.3841325.
• Amir, Gideon, Blachar, Guy, Gerasimova, Maria, and Kozma, Gady. 2026. “Probabilistic laws on infinite groups.” Preprint. Israel Journal of Mathematics 2026. doi: 10.1007/s11856-026-2943-2.
• Marwitz, Florian, Braun, Tanya, Möller, Ralf, and Gehrke, Marcel. 2026. “Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions.” in AAMAS-26 Proceedings of the 25th International Conference on Autonomous Agents and Multi-Agent Systems, edited by Chris Amato, Louise Dennis, Viviana Mascardi and John Thangarajah. Richland: International Foundation for Autonomous Agents and Multiagent Systems. doi: 10.65109/GOIS4183.
• Wortmann, Carolin, and Vahrenhold, Jan. 2026. “An Instrument for Observing Teams to Explicate Regulation Strategies in Computer Science.” ACM Transactions on Computing Education 26 (2): 1–28. doi: 10.1145/3779308.
• Hooshangi, Sara, Shakli, Asma, Riddle, Steve, Aydin, Ilknur, Nasir, Nayla, Parupudi, Tejasvi, Rehman, Attiqa, Scott, Michael James, Vahrenhold, Jan, Weerasinghe, Amali, and Wu, Xi. 2026. “Evaluating Assessment Practices in Team-Based Computing Capstone Projects.” in ITiCSE 2025: 2025 Working Group Reports on Innovation and Technology in Computer Science Education, edited by Ari Korhonen and Ellie Lovellette. New York, NY: ACM Press. doi: 10.1145/3760545.3783974.

2025

• Stübbe, Jonas, Remke, Anne, and Ábrahám, Erika. 2025. “Scaling Up Reachability Analysis for Rectangular Automata with Random Clocks.” in 2025 27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), edited by IEEE. Los Alamitos, CA: Wiley-IEEE Computer Society Press. doi: 10.1109/synasc69064.2025.00011.
• Angiuli, V, Rohner, M, Wittmann, M, Piekarski, F, Kruse, J, Silaschi, M, Kunsorg, A, Mayr, A, Abulizi, I, Speller, J, Bakhtiary, F, and Velten, M. 2025. “Ultra-fast extubation following cardiac surgery improves hemodynamic stability and reduces ICU workload.” Frontiers in Cardiovascular Medicine 12: 1695955.. doi: 10.3389/fcvm.2025.1695955.
• Wolff, Matthias, Eilers, Florian, and Jiang, Xiaoyi. 2025. “CVKAN: Complex-valued Kolmogorov-Arnold Networks.” in Proc. of IJCNN, edited by IEEE. Rome, Italy: Wiley-IEEE Computer Society Press. doi: 10.1109/IJCNN64981.2025.11227425.
• Borrelli, Gabriel, Ittermann, Till, and Linsen, Lars. 2025. “Mapping Mental Models of Uncertainty to Parallel Coordinates by Probabilistic Brushing.” Preprint. Computer Graphics Forum 44 (3). doi: 10.1111/cgf.70103.
• Blohm, Pauline, Schulz, Felix, Willemsen, Lisa, Remke, Anne, and Herber, Paula. 2025. “Modeling Uncertainty: From Simulink to Stochastic Hybrid Automata.” in International Conference on Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems, Vol. 16143 of Lecture Notes in Computer Science, edited by Pavithra Prabhakar and Andrea Vandin. Switzerland: Springer Nature. doi: 10.1007/978-3-032-05792-1_21.
• Schulze, Richard, Gorlatch, Sergei, and Rasch, Ari. 2025. “pyATF: Constraint-Based Auto-Tuning in Python.” contribution to the 34th ACM SIGPLAN International Conference on Compiler Construction, Las Vegas ACM Press. doi: 10.1145/3708493.3712682.
• Hall, Mary, Oancea, Cosmin E., Elster, Anne C., Rasch, Ari, Joshi, Sameeran, Tavakkoli, Amir Mohammad, and Schulze, Richard. 2025. “Scheduling Language Chronology: Past, Present, and Future.” Transactions on Architecture and Code Optimization 22 (3): 1–31. doi: 10.1145/3743135.
• Schulze, Richard, Gorlatch, Sergei, and Rasch, Ari. 2025. “Reduction-Aware Directive-Based Programming via Multi-Dimensional Homomorphisms.” in Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis doi: 10.1145/3731599.3767572.
• Gorlatch, S., Garanina, N., and Staroletov, S. 2025. “USING THE SPIN MODEL CHECKER FOR AUTO-TUNING HIGH-PERFORMANCE PROGRAMS.” Journal of Mathematical Sciences - (-). doi: 10.1007/s10958-025-07687-3.
• Tomak, Juri, and Gorlatch, Sergei. 2025. “A Toolset for Predicting Performance of Legacy Real-Time Software Based on the RAST Approach.” contribution to the ACM SIGSIM-PADS Principles of Advanced Discrete Simulation, Atlanta, Georgia, 24-26 Juni 2024 doi: 10.1145/3673897.
• Molchanov, Vladimir*, Rave, Hennes*, and Linsen, Lars. 2025. “A Decluttering Lens for Scatterplots.” contribution to the IEEE Visualization and Visual Analytics (VIS), Vienna doi: 10.1109/VIS60296.2025.00031.
• Cutura, Rene, Rave, Hennes, Ngo, Quynh Quang, Molchanov, Vladimir, Linsen, Lars, Weiskopf, Daniel, and Sedlmair, Michael. 2025. “SiGrid: Gridifying Scatterplots with Sector-Based Regularization and Hagrid.” contribution to the IEEE Visualization and Visual Analytics (VIS), Vienna doi: 10.1109/VIS60296.2025.00032.