Maria Kalweit

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Neural Network Model

Bayesian Nonparametric

Animal Behavior

Top Venues

PLoS Comput. Biol.

AI4Function@IJCAI

Publications

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 (2024)
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 (2024)
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 (2023)
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 (2023)
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 (2023)
Maria Kalweit, Andrea M. Burden, Joschka Boedecker, Thomas Hügle, Theresa Burkard
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs. PLoS Comput. Biol. 19 (6) (2023)
Gabriel Kalweit, Maria Kalweit, Joschka Boedecker
Robust and Data-efficient Q-learning by Composite Value-estimation. Trans. Mach. Learn. Res. 2022 (2022)
Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Deep Surrogate Q-Learning for Autonomous Driving. ICRA (2022)
Maria Kalweit, Gabriel Kalweit, Joschka Boedecker
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. AI4Function@IJCAI (2021)