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Papers matching “transformer modeling” 388

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Simulation of Hybrid Reo Connectors
2020 conference-paper Computer Science Formal Methods in Verification

Ebrahim Ardeshir-Larijani, Alireza Farhadi, Farhad Arbab

3

citations
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten

3

citations
Monitoring Open Science as Transformative Change: Towards a Systemic Framework
2024 preprint Computer Science Research Data Management Practices Open access

Ismael Ràfols, Jordi Molas‐Gallart, Ingeborg Meijer

1

citations
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 RWTH Publications (RWTH Aachen) preprint Computer Science AI in cancer detection Open access

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

1

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
2026 JuSER Publikationsportal article Computer Science Parallel Computing and Optimization Techniques Open access

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

0

citations
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Deep Learning-Based Prediction of Biomarkers from Colorectal Cancer Pathology Slides
2025 Qucosa (Saxon State and University Library Dresden) dissertation Computer Science AI in cancer detection Open access

Jan Niehues

0

citations
Investigations on neural networks, discriminative training criteria and error bounds
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Markus Nußbaum-Thom

0

citations
Tight Integrated End-to-End Training for Cascaded Speech Translation
2021 IEEE Spoken Language Technology Workshop (SLT) conference-paper Computer Science Speech Recognition and Synthesis Open access cited by 1 patent

Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney

30

citations
Multimodal Large Language Models are Generalist Medical Image Interpreters
2023 medRxiv preprint Computer Science Multimodal Machine Learning Applications Open access

Lisa C. Adams, Sven Nebelung, Jakob Nikolas Kather, Keno K. Bressem, Daniel Truhn

17

citations
Injecting the Score of the First-stage Retriever as Text Improves BERT-Based Re-rankers
2023 Research Square preprint Computer Science Information Retrieval and Search Behavior Open access

Arian Askari, Amin Abolghasemi, Gabriella Pasi, Wessel Kraaij, Suzan Verberne

1

citations
Artificial Intelligence for Diagnostic Support in Neuropathology
2026 Qucosa (Saxon State and University Library Dresden) dissertation Computer Science AI in cancer detection Open access

Katherine J. Hewitt

0

citations
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
2021 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Yiran Xing, Zai Shi, Meng Zhao, Gerhard Lakemeyer, Yunpu Ma, Roger P. Wattenhofer

4

citations
Predicatet transformers for nondeterministic quantum programs
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Logic, programming, and type systems Open access

Xi Wang

0

citations
Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept
2022 SPIE Medical Imaging: Image Processing conference-paper Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten

4

citations
Towards Realistic 3D Models of Tumor Vascular Networks
2023 Cancers article Computer Science Medical Image Segmentation Techniques Open access

Max C. Lindemann, Lukas Glänzer, Anjali A. Roeth, Thomas Schmitz‐Rode, Ioana Slabu

3

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

3

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

0

citations
Digitale Histopathologie
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science AI in cancer detection Open access

Daniel Bug

0

citations
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

4

citations
Scalable and interpretable quantum natural language processing: an implementation on trapped ions
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Tiffany Duneau, Gabriel Matos, Tuomas Laakkonen, Katerina Saiti, Anna Pearson, Konstantinos Meichanetzidis, +1 more

0

citations
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

0

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 Nature Communications article Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

156

citations