Research
Our group's research activities focus on machine learning, a scientific discipline at the intersection of computer science, statistics, and applied mathematics. Over the last decades, the importance of machine learning has continuously grown, and the field has developed into one of the main pillars of modern artificial intelligence and the emerging research field of data science.
Research Areas
The members of our Team are loosely organized into different focus groups. The groups meet regularly to speak about their work, listen to starter talks, and function as a point of contact to students interested in the specific topics.
Research Projects
Members of our Team are involved in the following research projects and collaborations:
TRR 318 „Constructing Explainability“
In the Transregional Collaborative Research Centre 318 “Constructing Explainability”, researchers are developing ways to involve users in the explanation process and thus create co-constructive explanations.
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LEMUR
LEMUR is an MSCA (Marie Skłodowska-Curie Actions) Doctoral Network (DN) 2021 on Learning with Multiple Representations.
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AIM@LMU
The "Artificial Intelligence as a Major Minor" Program at LMU is funded by the BMBF, and aims to develop a comprehensive, interdisciplinary range of training courses in artificial intelligence (AI).
Read morePast Projects
- Remaining Useful Lifetime for New and Used Technical Systems under Non-Stationary Conditions
- AI-DevAssist: AI-Supported Secure Software Development
- Trustworthy AI for Seamless Problem Solving: Next Generation Intelligence Joins Robust Data Analysis
- Weakly Supervised Learning for Depth Estimation in Monocular Images
- Explainable Machine Learning for Interactive Episodic Updates of Models
- AutoSCA: Automated vulnerability analysis of cryptographic protocols
- Online Preference Learning with Bandit Algorithms
- Multilabel Rule Learning
Partners
