Michael Fromm
Website
Dr. Michael Fromm
Research Scientist for Foundation Models based in Munich 🇩🇪
Email / Website / LinkedIn / GitHub / Twitter / G-Scholar / Modalities
Research Interests
- Multilingual Large-Language Models
- Multimodal Foundation Models
- Computer Vision
- Remote Sensing
Work Experience
- Principal Research Scientist Foundation Models, Fraunhofer IAIS, (2023 - Present)
- Postdoc, LMU Munich (2022 - 2023)
- Innovation Lab Coordinator, LMU Munich (2020 - 2023)
- Research Scientist, LMU Munich, (2016 - 2023)
- Intern Software Development, Dassault Systemes (2015 - 2016)
Education LMU Munich 
- PhD CS (2018 - 2022)
- MSc CS (2016 - 2018)
- BSc CS (2012 - 2016)
Current Foundation Model Projects
- TrustLLM: Democratize Trustworthy and Efficient Large Language Model Technology for Europe
- openGPT-X: Development of Large European Language Models
- EuroLingua-GPT: One Model for all European Languages
Selected Research Articles
Computer Vision
- Automated detection of conifer seedlings in drone imagery using convolutional neural networks
- Unsupervised anomaly detection for X-ray images
- XD-STOD: Cross-Domain Superresolution for Tiny Object Detection
Natural Language Processing
- Argument Mining Driven Analysis of Peer-Reviews
- TACAM: topic and context aware argument mining
- Diversity Aware Relevance Learning for Argument Search
- Active Learning for Argument Strength Estimation
- Cross-Domain Argument Quality Estimation
Skills
Data Processing with e.g. Polars, Pytorch, DataTrove Programming in Python, Java, C++ Building foundation models in PyTorch and our own Framework Modalities
Teaching Experiences
- Introduction to Programming
- Argument Mining
- Big Data Management and Analytics
- Practical Machine Learning
- Seminar Machine Learning
- Deep Learning and Artificial Intelligence
- Artificial Intelligence for Games
- Machine Learning with limited labeled Data
- supervision of dozens of bachelor & master thesis
Projects from the Machine Learning Practical are also featured on the Innolab Website.