Resources
Survey on embedding methods applied to ontology matching
Sousa, G., Lima, R., Trojahn, C. • 2026
Conference Paper
10 Years of Model Federation with OpenFlexo: Challenges and Lessons Learned
Bach, J., Beugnard, A., Champeau, J., Dagnat, F., Guérin, S., Martínez, S. • 2025
Conference Paper • MoDELS
Advocating for user-agency in defining uncertainty in visualizations: A case study in geology
Peña-Araya, V., Martínez Fontaine, C., Wei, X., Delpech, G., Bezerianos, A. • 2025
Conference Paper • CHI
Benchmarking the Modular Structural Analysis Algorithm
Caillaud, A., Benveniste, M. • 2025
Conference Paper
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
Ma, S., Flanigan, K. A., Bergés, M. • 2025
Preprint
Cadcrafter: Generating computer-aided design models from unconstrained images
Chen, C., Wei, J., Chen, T., Zhang, C., Yang, X., Zhang, S., Liu, F. • 2025
Conference Paper
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
Ackermann, J., Kulhanek, J., Cai, S., Xu, H., Pollefeys, M., Wetzstein, G., Guibas, L. • 2025
Conference Paper • ICCV
Digital Twin System of Systems: A Layered Architecture Proposal
Smati, M., Cheutet, V., Danjou, C., Laval, J. • 2025
Conference Paper
Foundations for Self-Adaptive Abstraction and Approximation in Digital Twins with Real-time Requirements
Biglari., R. • 2025
Thesis
Graph Embeddings Meet Link Keys Discovery for Entity Matching
Jradeh, C. K., Raoufi, E., David, J., Larmande, P., Scharffe, F., Todorov, K., Trojahn, C. • 2025
Conference Paper
Learnable and Interpretable Model Combination in Dynamical Systems Modeling
Thummerer, T., Mikelsons, L. • 2025
Preprint
MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction
Guedon, A., Gomez, D., Maruani, N., Gong, B., Drettakis, G., Ovsjanikov, M. • 2025
Journal Article • ACM Transactions on Graphics
REACT3D: Recovering Articulations for Interactive Physical 3D Scenes
Huang, Z., Sun, B., Delitzas, A., Chen, J., Pollefeys, M. • 2025
Preprint
Reliable neural network model for accelerating coupled thermodiffusion simulation
Yahiaoui et al. • 2025
Conference Paper • ICAPP
Towards Automating the Life Cycle Management of Digital Twins
Beaumont, G., Beugnard, A., Martínez, S., Urtado, C., Vauttier, S. • 2025
Conference Paper • ER2025 - 44th International Conference on Conceptual Modeling
2d gaussian splatting for geometrically accurate radiance fields
Huang, B., Yu, Z., Chen, A., Geiger, A., Gao, S. • 2024
Conference Paper • ACM SIGGRAPH 2024 conference papers
A Survey of Federative Approaches for Model Management in MBSE
Amrani, M., Mittal, R., Goulão, M., Amaral, V., Guérin, S., Martínez, S., Blouin, D., Bhobe, A., Hallak, Y. • 2024
Conference Paper • ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
A systematic overview of data federation systems
Gu, Z., Corcoglioniti, F., Lanti, D., Mosca, A., Xiao, G., Xiong, J. • 2024
Conference Paper • Semantic Web
Combining statistical depth and Fermat distance for uncertainty quantification
Nguyen et al. • 2024
Conference Paper • NeurIPS
Harnessing Hybrid Digital Twinning for Decision-Support in Smart Infrastructures
Liang, H., García, B., Seah, E., Weng, A., Baillargeat, D., Joerin, J., Chatzi, E. • 2024
Preprint • Engineering journal preprints
How data assimilation can help in the initialization of Modelica models?
Mesa-Moles, A., Jardin, J.-P. • 2024
Workshop
Model Management at Renault Virtual Simulation Team: State of Practice, Challenges and Research Directions
Hallak, Y., Blouin, D., Pautet, L., Saab, L., Laborie, B., Mittal, R. • 2024
Conference Paper • ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
Real-Time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Yang, Z., Yang, H., Pan, Z., Zhu, X., Zhang, L. • 2024
Conference Paper • CVPR 2024
Reducing data requirement for accurate photovoltaic power prediction using hybrid machine learning-physical model on diverse dataset
Syauqi, A., Pavian Eldi, G., Andika, R., Lim, H. • 2024
Conference Paper
Sparse Identification of Nonlinear Dynamics with Side Information (SINDy-SI)
Machado, G. F., Jones, M. • 2024
Conference Paper
Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering
Guedon, A., Lepetit, V. • 2024
Conference Paper • IEEE/CVF Conference on Computer Vision and Pattern Recognition
3d gaussian splatting for real- time radiance field rendering
Kerbl, G., Kopanas, T., Leimkuhler, G. • 2023
Journal Article • ACM Transactions on Graphics (ToG)
A software engineering perspective on digital twin: many candidates, none elected
Beugnard, A. • 2023
Conference Paper • IEEE Smart World Congress
Combining Machine Learning and Semantic Web: A Systematic Mapping Study
Breit, A., Waltersdorfer, L., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Teije, A. T., Harmelen, F. V. • 2023
Conference Paper
Data hunches: Incorporating personal knowledge into isualizations
Lin, H., Akbaba, D., Meyer, M., Lex. • 2023
Conference Paper • IEEE Trans Vis Comput Graph
Discovering governing equations from partial measurements with deep delay autoencoders
Bakarji, J., Champion, K., Kutz, J. N., Brunton, S. • 2023
Conference Paper
Experience in Specializing a Generic Realization Language for SPL Engineering at Airbus
Foures, D., Acher, M., Barais, O., Combemale, B., Jézéquel, J., Kienzle, J. • 2023
Conference Paper • MODELS 2023 - 26th International Conference on Model-Driven Engineering Languages and Systems
Explaining cyberphysical system behavior with digital twins
Michael, J., Schwammberger, M., Wortmann, A. • 2023
Conference Paper • IEEE Software
FML: A Model Federation Language For Semantic Interoperability of Heterogeneous Information Sources
Guérin, S. • 2023
Thesis
The Use of Cognitive Digital Twins on an IoT System for Edge Resilience and Anomaly Detection
Swati, M. • 2023
Conference Paper
Weighted lens depth: Some applications to supervised classification
Cholaquidis et al. • 2023
Journal Article • Canadian Journal of Statistics
Do you believe your (social media) data? A personal story on location data biases
Isenberg, T., Salazar, Z., Blanco, R., Plaisant. • 2022
Conference Paper • IEEE Trans Vis Comput Graph
Hybrid forecasting: Using statistics and machine learning to integrate predictions from dynamical models
Slater, L., Arnal, L., Boucher, M.-A., Chang, A. Y.-Y., Moulds, S., Murphy, C., Nearing, G., Shalev, G., Shen, C., Speight, L., Villarini, G., Wilby, R. L., Wood, A., Zappa, M. • 2022
Conference Paper
Multi-level modeling with Openflexo/FML : A contribution to the multi-level process challenge
Guérin, S., Champeau, J., Bach, J., Beugnard, A., Dagnat, F., Martínez, S. • 2022
Conference Paper
Basics and Trends in Sensitivity Analysis
Da Veiga et al. • 2021
Conference Paper • SIAM
Distribution and quantile functions in dimension d: a measure transportation approach
Hallin et al. • 2021
Conference Paper
Living with Uncertainty in Model-Based Development
Bernardi, S., Famelis, M., Jézéquel, J., Mirandola, R., Palacin, D. P., Polack, F., Trubiani, C. • 2021
Conference Paper • Springer International Publishing
Multi- paradigm modelling for cyber–physical systems: A descriptive framework
Amrani, M., Blouin, D., Heinrich, R., Rensink, A., Vangheluwe, H., Wortmann, A. • 2021
Conference Paper • Software and Systems Modeling
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
Von Rueden, L., Mayer, S., Sifa, R., Bauckhage, C., Garcke, J. • 2020
Conference Paper
Digital twin: enabling technologies, challenges and open research
Fuller, A., Fan, Z., Day, C., Barlow, C. • 2020
Journal Article • IEEE access
Digital twin: Values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., Kvamsdal, T. • 2020
Journal Article • IEEE access
Implicit structural analysis of multimode DAE systems
Caillaud, M., Malandain, J. • 2020
Conference Paper • HSCC 2020 - 23rd ACM International Conference on Hybrid Systems: Computation and Control
Loop Aggregation for Approximate Scientific Computing
Sallou, A., Gauvain, J., Bourcier, B., Combemale, J.R. • 2020
Conference Paper • ICCS
NeRF: Representing scenes as neural radiance fields for view synthesis
Mildenhall, P. P., Srinivasan, M., Tancik, J. T., Barron, R., Ramamoorthi, R. • 2020
Thesis • European Conference on Computer Vision (ECCV)
Neural-symbolic integration and the Semantic Web
Janowicz, K., Hitzler, P., Bianchi, F., Ebrahimi, M., Sarker, M. K. • 2020
Conference Paper
One explanation does not fit all: The promise of interactive explanations for machine learning transparency
Sokol, K., Flach, P. • 2020
Conference Paper
Towards digital twins for knowledge-driven construction progress and predictive safety analysis on a construction site
Li., B., Nielsen. • 2020
Conference Paper • Springer International Publishing
A framework for externalizing implicit error using visualization
McCurdy, N., Gerdes, J., Meyer. • 2019
Conference Paper • IEEE Trans Vis Comput Graph
GreyCat: Efficient what-if analytics for data in motion at scale
Hartmann, T., Fouquet, F., Moawad, A., Rouvoy, R. • 2019
Conference Paper • . Information Systems
In pursuit of error: A survey of uncertainty visualization evaluation
Hullman, J., Qiao, X., Correll, M., Kale, A., Kay. • 2019
Conference Paper • IEEE Trans Vis Comput Graph
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Rudin, C. • 2019
Conference Paper
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Zendehboudi, S., Rezaei, N., Lohi, A. • 2018
Conference Paper
Bridging the gap between informal requirements and formal specifications using model federation
Golra, F. R., Dagnat, F., Souquières, J., Sayar, I., Guérin, S. • 2018
Conference Paper • Springer International Publishing
Port-Hamiltonian Systems Theory: An Introductory Overview
van der Schaft, A., Jeltsema, D. • 2014
Conference Paper
Principles of Object-Oriented Modeling and Simulation with Modelica 3.3: A Cyber-Physical Approach
Fritzson, P. • 2014
Book
Feature-Oriented Software Product Lines: Concepts and Implementation
Apel, S., Batory, D., Kästner, C., Saake, G. • 2013
Conference Paper • Springer
Foundations of Semantic Web Technologies
Hitzler, P., Krötzsch, M., Rudolph, S. • 2009
Conference Paper
Sensor Placement for Fault Diagnosis
Krysander, M., Frisk, E. • 2008
Journal Article • IEEE Transactions on Systems
Robust Initialization of Differential Algebraic Equations
Bachmann, P., Aronsson, P. • 2006
Conference Paper
Making components contract aware
Beugnard, A., Jézéquel, J., Plouzeau, N., Watkins, D. • 1999
Conference Paper
Abductive reasoning: Logic, visual thinking, and coherence
Thagard, P., Shelley, C. • 1997
Conference Paper • Springer Netherlands
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