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Maria Kalweit
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2020 – today
- 2024
- [j3]Paul Schmidt-Barbo
, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß
Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. PLoS Comput. Biol. 20(7): 1011570 (2024) - [i7]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) - [i6]Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Boedecker, Carsten F. Dormann, Florian Pappenberger, Gianpaolo Balsamo:
Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. CoRR abs/2407.16463 (2024) - [i5]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
- [j2]Maria Kalweit
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs. PLoS Comput. Biol. 19(6) (2023) - [i4]Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. CoRR abs/2303.16533 (2023) - [i3]Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker:
L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization. CoRR abs/2311.13870 (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
- [b1]Maria Kalweit:
Deep representations of sets. University of Freiburg, Freiburg im Breisgau, Germany, 2022 - [j1]Gabriel Kalweit, Maria Kalweit, Joschka Boedecker:
Robust and Data-efficient Q-learning by Composite Value-estimation. Trans. Mach. Learn. Res. 2022 (2022) - [c2]Maria Kalweit
Deep Surrogate Q-Learning for Autonomous Driving. ICRA 2022: 1578-1584 - 2021
- [c1]Maria Kalweit, Gabriel Kalweit, Joschka Boedecker:
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. AI4Function@IJCAI 2021: 12-21 - 2020
- [i1]Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker:
Deep Surrogate Q-Learning for Autonomous Driving. CoRR abs/2010.11278 (2020)
Coauthor Index
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