The Machine Learning Interest Group (MLIG) aims to bring together scientific staff with an interest in Machine Learning/Artificial Intelligence. It is currently open for researchers from University of the Bundeswehr Munich and Helmut Schmidt University/University of the Federal Armed Forces Hamburg. At the moment we are over 190 people in the MLIG.
Our goals
- Platform for ML/AI topics at UniBw M and HSU
- Simplify networking between researchers
- Encouraging exchange between scientists – across institutes/departments/universities
What we offer
- We have regular ONLINE MEETUPs (via BBB) where researchers present their work in the domain of Machine Learning. Usually we have 2-3 presentations which last 15 minutes each. After all presentations we have dedicated breakout rooms, where each topic can be discussed in more depth.
- We hold in-person regulars' tables (STAMMTISCH) at UniCasino/Brandl to get to know each other. Before the regulars' table we explore an exciting place at the university together. There are unique opportunities to gain insights into different research fields. For example, we have already visited the GPU cluster "Monacum One" together or the reopened computer museum "datArena".
- We are organised in an Ilias group. This group has a FORUM for questions, problems, ideas. Moreover, we have an INTRODUCE YOURSELF section where you can leave some words about you and your interests.
If you want to join the MLIG network
- UniBw M researchers: https://go.unibw.de/JoinMLIG
- HSU researchers: Please write an e-mail to philipp.roesch@unibw.de, so that we can add you to Munich's Ilias platform. Later you can join using https://go.unibw.de/JoinMLIG.
Upcoming events
| Vanessa Vohs (SOWI): AI for Defence - the EUs approach towards military AI | Murat Cankaya (INF): Multi task learning approaches for object detection in satellite images | ||
| 06.02.2024, 16:30/18:00
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6th STAMMTISCH at MissionLab/VR lab (Sophie-Marie Stasch, Martin Ruß, Prof. Mack) and UniCasino | ||
| 5th STAMMTISCH at Institut für Fahrzeugtechnik und Mechanik (Prof. Faßbender) and UniCasino | |||
| Florian Babl (CODE): AI for Knowledge Extraction from news articles | Fabian Deuser (ETTI):
Generating Novel Views from Public Images
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New AI/ML team at UniBw M of Prof. Dr. Eirini Ntoutsi |
Prof. Eirini Ntoutsi (INF/CODE): An overview of fairness-aware Machine Learning [Paper1][Paper2] | Arjun Roy (FU Berlin): Fairness in multi-task learning [Paper] | Tai Le Quy (FU Berlin): Fairness-aware clustering models in collaborative learning [Paper] |
| 4th STAMMTISCH at Automated Vehicle-in-the-Loop (Thomas Rottmann) and UniCasino | |||
| 17.11.2022, 17:00/18:00 | 3rd STAMMTISCH at UniBw's computer museum datArena (Peter Rödig) and Brandl | ||
| 25.10.2022, 16:00 | Prof. Oliver Rose (INF): Model-based Decision Making with Simulation or ML - Friends or Foes? | Sonja Häffner (CISS): Building advanced objective dictionaries for the prediction of conflict |
Johannes Flotzinger (BAU): Damage Recognition on Massive Constructions [Paper] |
| 08.09.2022, 16:30/18:00 | 2nd STAMMTISCH at Automated Vehicle-in-the-Loop and Bar&Pizzeria da Giovanni |
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| 29.06.2022 | Thomas Roßberg (LRT): Enable satellites to see vegetation through clouds with Deep Learning | Joschka Kersting (CODE/Uni Paderborn): Human Language Comprehension — Extract, Classify and Weight Implicit Aspect Phrases like Humans Do | Fabian Deuser (ETTI): Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model [Paper] |
| 03.05.2022 |
State-of-the-art ML project presentation from Airbus and DesignAI (German): ASTARTES – Wie AlphaStar die Art und Weise, wie wir Entscheidungen treffen, verändert |
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| 13.04.2022 | 1st STAMMTISCH at ETTI's MonacumOne GPU cluster (Prof. Oswald) and UniCasino | ||
| 02.02.2022 | Fabian Deuser (ETTI): CNN-based Audio Signal Processing and Beyond | Moritz Dannehl (CODE): XFL: eXtreme Function Labeling | Arthur Müller (SOWI): Post-Training and Fine-Tuning of BERT-Based Models for Political Language in German Tweets |
| 08.07.2021 | Martin Denk (LRT): Reduction of Image Rotation Variety using Moment of Areas for CNNs [Paper] | Benjamin Haser (LRT): Analysis of Phobos internal Structure & SuperResolution | |
| 28.04.2021 | Sarah Rudigkeit (LRT): Artificial intelligence based cell-tracking for the evaluation of radiation effects in eucaryotic cells | Simon Gottschalk (LRT): An Optimal Control Framework for Deep Reinforcement Learning | |
| 11.03.2021 | Peter Mortimer (LRT): Semantic Segmentation in Unstructured Outdoor Environments | n/a | Philipp J. Rösch (ETTI): Positional Information in Transformer-based Models for Language and Vision [Paper] |
| 10.02.2021 | Maren Hülsmann (LRT): AI4Space | Moritz Dannehl (CODE): Using Machine Learning to Understand Semantics of Binary Machine Code |
Philipp J. Rösch (ETTI): Multimodal Machine Learning: Processing Images and Text at the same time |
Locations of our Stammtische
U: Restaurant UniCasino
B: Restaurant Brandl
P: Restaurant Bar&Pizzeria da Giovanni
1: GPU cluster "Monacum One"
3: Computer museum datArena
4: Automated Vehicle-in-the-Loop / Teststrecke
5: Tracked vehicles / Teststrecke
6: VR lab / MissionLab
