Maria Kalweit

According to our database, Maria Kalweit authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation.

Julia Hindel, Ema Mekic, Enamundram Naga Karthik, Rohit Mohan, Daniele Cattaneo, Maria Kalweit, Abhinav Valada

CoRR, August, 2025

Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification.

Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Multi-intention Inverse Q-learning for Interpretable Behavior Representation.

Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker

Trans. Mach. Learn. Res., 2024

Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning.

Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß, Bruno Märkl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder, Maria Kalweit

PLoS Comput. Biol., 2024

BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design.

Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Joschka Boedecker, Gabriel Kalweit

CoRR, 2024

Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators.

Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Boedecker, Carsten F. Dormann, Florian Pappenberger, Gianpaolo Balsamo

CoRR, 2024

Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design.

Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker

CoRR, 2024

2023

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs.

Maria Kalweit, Andrea M. Burden, Joschka Boedecker, Thomas Hügle, Theresa Burkard

PLoS Comput. Biol., 2023

CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations.

Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit

CoRR, 2023

L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization.

Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker

CoRR, 2023

Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles.

Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit

CoRR, 2023

2022

Deep representations of sets.

Maria Kalweit

PhD thesis, 2022

Robust and Data-efficient Q-learning by Composite Value-estimation.

Gabriel Kalweit, Maria Kalweit, Joschka Boedecker

Trans. Mach. Learn. Res., 2022

Deep Surrogate Q-Learning for Autonomous Driving.

Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values.

Maria Kalweit, Gabriel Kalweit, Joschka Boedecker

Proceedings of the Second Workshop on Artificial Intelligence for Function, 2021