Maria Kalweit

PhD student, Albert-Ludwigs-Universität Freiburg

Researcher, Collaborative Research Institute Intelligent Oncology

Joined

April 2022

Names

Maria Kalweit (Preferred)

Emails

****@cs.uni-freiburg.de (Confirmed)

****@informatik.uni-freiburg.de (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

Albert-Ludwigs-Universität Freiburg (uni-freiburg.de)

Present

Researcher

Collaborative Research Institute Intelligent Oncology (criion.org)

Present

Advisors, Relations & Conflicts

PhD Advisor

Joschka Boedecker

Present

Family

Gabriel Kalweit

Present

Expertise

deep learning

Present

Publications

BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
Yannick Vogt, Mehdi Naouar, Maria Kalweit, Cornelius Miething, Justus Duyster, Joschka Boedecker, Gabriel Kalweit
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
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
- ICLR 2025 Poster
- Readers: Everyone
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
- Accepted by TMLR
- Readers: Everyone
Unsupervised Feature Extraction from a Foundation Model Zoo for Cell Similarity Search in Oncological Microscopy Across Devices
Gabriel Kalweit, Anusha Klett, Mehdi Naouar, Jens Rahnfeld, Yannick Vogt, Diana Laura Infante Ramirez, Rebecca Berger, Jesus Duque Afonso, Tanja Nicole Hartmann, Marie Follo, Michael Luebbert, Roland Mertelsmann, Evelyn Ullrich, Joschka Boedecker, Maria Kalweit
- ICML 2024 FM-Wild Workshop Poster
- Readers: Everyone
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
- Submitted to ICLR 2024
- Readers: Everyone
Robust and Data-efficient Q-learning by Composite Value-estimation
Gabriel Kalweit, Maria Kalweit, Joschka Boedecker
- Accepted by TMLR
- Readers: Everyone

Maria Kalweit

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design

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

Multi-intention Inverse Q-learning for Interpretable Behavior Representation

Unsupervised Feature Extraction from a Foundation Model Zoo for Cell Similarity Search in Oncological Microscopy Across Devices

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

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

Co-Authors