Gabriel Kalweit

Researcher, Collaborative Research Institute Intelligent Oncology

PhD student, Universität Freiburg

Joined

September 2019

Names

Gabriel Kalweit (Preferred)

Emails

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

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Collaborative Research Institute Intelligent Oncology (criion.org)

2022 – Present

PhD student

Universität Freiburg (uni-freiburg.de)

2017 – Present

Advisors, Relations & Conflicts

PhD Advisor

Joschka Boedecker

2017 – Present

Family

Maria Kalweit

2017 – Present

Expertise

Reinforcement Learning

Present

Publications

SR-Reward: Taking The Path More Traveled
Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker
- Accepted by TMLR
- Readers: Everyone
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- ICLR 2025 Conference Withdrawn Submission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
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
- Readers: Everyone
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
- Readers: Everyone
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
- 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
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
- Readers: Everyone

View all 40 publications

Co-Authors

View all 52 co-authors