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Mehdi Naouar
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2020 – today
- 2024
- [j1]Paul Schmidt-Barbo
, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß
, Bruno Märkl, Stefan Dirnhofer
, Alexandar Tzankov
, Mascha Binder
, Maria Kalweit:
Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. PLoS Comput. Biol. 20(7): 1011570 (2024) - [i5]Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker:
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. CoRR abs/2401.05341 (2024) - [i4]Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Joschka Boedecker, Gabriel Kalweit:
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design. CoRR abs/2409.16298 (2024) - 2023
- [c3]Matthias Heizmann
, Max Barth
, Daniel Dietsch
, Leonard Fichtner, Jochen Hoenicke
, Dominik Klumpp
, Mehdi Naouar
, Tanja Schindler
, Frank Schüssele
, Andreas Podelski
:
Ultimate Automizer and the CommuHash Normal Form - (Competition Contribution). TACAS (2) 2023: 577-581 - [i3]Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo
, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit:
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. CoRR abs/2303.16533 (2023) - [i2]Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit:
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. CoRR abs/2312.00671 (2023) - 2022
- [c2]Silvio Galesso
, María Alejandra Bravo, Mehdi Naouar, Thomas Brox:
Probing Contextual Diversity for Dense Out-of-Distribution Detection. ECCV Workshops (5) 2022: 492-509 - [d2]Matthias Heizmann
, Max Barth, Daniel Dietsch
, Leonard Fichtner, Jochen Hoenicke
, Dominik Klumpp, Mehdi Naouar, Tanja Schindler, Frank Schüssele, Andreas Podelski
:
Ultimate Automizer (SV-COMP 2022 - Modified). Zenodo, 2022 - [i1]Silvio Galesso, María Alejandra Bravo, Mehdi Naouar, Thomas Brox:
Probing Contextual Diversity for Dense Out-of-Distribution Detection. CoRR abs/2208.14195 (2022) - 2021
- [c1]Daniel Dietsch, Matthias Heizmann
, Dominik Klumpp
, Mehdi Naouar, Andreas Podelski, Claus Schätzle:
Verification of Concurrent Programs Using Petri Net Unfoldings. VMCAI 2021: 174-195
2010 – 2019
- 2019
- [d1]Matthias Heizmann
, Max Barth, Daniel Dietsch
, Jill Enke, Leonard Fichtner, Dominik Klumpp, Mehdi Naouar, Lars Nitzke, Alexander Nutz
, Andreas Podelski
, Elisabeth Schanno, Claus Schätzle:
Ultimate Automizer SV-COMP 2020 Competition Contribution. Zenodo, 2019
Coauthor Index

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