Jekyll2026-03-20T11:56:07+00:00https://tue-aria.github.io/feed.xmlARIA LabResearch group at TU Eindhoven focusing on building trustworthy intelligent architectures for reliable and robust AI solutions, with emphasis on medical imaging applications.Presenting Symmetrical Flow Matching at AAAI 20262026-01-25T00:00:00+00:002026-03-20T11:51:58+00:00https://tue-aria.github.io/2026/01/25/aaai-2026-postFrancisco Caetano presented our work on Symmetrical Flow Matching (SymmFlow) at AAAI 2026.

SymmFlow offers a unified generative framework where generation, segmentation, and classification are treated within one coherent model.

AAAI provided a wonderful setting to exchange ideas with the broader AI community and shape the next steps of this line of research.

Find out more about SymmFlow.

Congratulations to Francisco for representing the TUE ARIA group at AAAI 2026.

]]>francisco-caetanoInnovative technologies make the industry safer and smarter2023-02-23T00:00:00+00:002026-03-20T11:51:58+00:00https://tue-aria.github.io/2023/02/23/example-post-3PhD researcher Tim Schoonbeek successfully defended his thesis investigating how AR and AI improve the quality of industrial processes. His research demonstrates how augmented reality combined with artificial intelligence can enhance safety and efficiency in industrial settings.

Congratulations to Dr. Schoonbeek on this significant achievement!

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