Machine Learning Interest Group (MLIG)

The Machine Learning Interest Group (MLIG) is a community for researchers who are interested in Machine Learning and Artificial Intelligence. MLIG helps people connect, share knowledge, and work together through talks, meetups, excursions, and retreats—creating a space to learn from each other and explore new ideas in AI.

 

It is open to staff from the University of the Bundeswehr Munich and Helmut Schmidt University.

Our goals

  • Connect researchers through networking events and casual meetups.

  • Encourage AI discussions on current topics, challenges, and new ideas.

  • Support learning and growth by sharing knowledge, feedback, and experiences.

  • Build a friendly community for anyone interested in AI and machine learning.

What we offer

  • AI TALKS: We host sessions with 2 invited talks, each lasting around 30 minutes, covering current topics in AI and related fields. After the talks, we head to a casual Stammtisch for informal discussions, networking, and exchanging ideas in a relaxed atmosphere.
  • STAMMTISCH: Our Stammtisch is a casual meetup that brings together people interested in AI, creating space for networking, sharing experiences from PhD life, and diving deeper into topics from our AI Talks. Whether you're looking to discuss research, exchange ideas, or just connect with others in the community, it's the perfect setting for relaxed conversations.
  • EXCURSION: As part of our excursions, we explore university facilities to gain insights into various research fields. For example, we've visited the Monacum One GPU cluster and the datArena computer museum, showcasing the evolution of information and communication technology.​
  • RETREAT: The UniBw AI Retreat is an annual event organized by UniBw M and George C. Marshall European Center for Security Studies, offering a platform for doctoral students and researchers in artificial intelligence to present their work, receive feedback, and network with peers and experts. The retreat includes poster presentations, workshops, keynote speeches, and panel discussions on AI applications, fostering interdisciplinary collaboration and professional development. ​
  • ILIAS: We are organised in an Ilias group. This group has a "forum" for questions, problems, and 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 ILIAS network

Our events

If you want to present at our AI TALKs, please write a short e-mail (philipp.roesch@unibw.de). Thanks!

Registration and details on Ilias (only internally accessible)!

 

2026 (tba)

 2nd UniBw AI Retreat
02.12.2025, 11:45 - 13:00
 AI LUNCH
24.11.2025, 16:45 - 20:00

AI TALK & MLIG Stammtisch

Leon Becker (INF): Enhancing Military Decision-Making through Simulation-Guided Post-Training of Large Language Models Alexander Roman (INF): Explainable Small Language Models integrating Modelling & Simulation for Red-Teaming
10.11.2025, 11:45 - 13:00
 Cancelled AI LUNCH: Trends and Highlights from EMNLP 2025
13.10.2025, 11:45 - 13:00
 AI LUNCH: Follow-Up Discussion of OpenAI DevDay 2025
30.09.2025, 16:45 - 20:00
 AI Salon@datArena, UniBw M

04.09.2025, 11:45 - 13:00
 AI LUNCH: America's AI Action Plan vs. EU's AI Act
12.06.2025, 15:00-20:00

 

 AI Salon@GCMC, Garmisch

31.03.2025, 16:45-20:00

AI TALKs with STAMMTISCH at Brandl

Dr. Matthias Soppert, WOW

Increasing regression model explainability through optimal counterfactual explanations

Matthias Schilling, INF

Modeling Safe Passing Regions in American Football: Integrating Ball Trajectories and Player Coverage

21.01.2025, 18:00-21:00

 8th MLIG Stammtisch at UniCasino

10.-12.12.2024

 UniBw AI Retreat 2024 at Marshall Center

07.10.2024 16:30-20:00

 7th STAMMTISCH: Training and Amateur Radio Station and El Greco

14.03.2024, 16:30-ca.17:30

 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

 

 6th STAMMTISCH at MissionLab/VR lab (Sophie-Marie Stasch, Martin Ruß, Prof. Mack) and UniCasino

27.06.2023, 16:30/18:00

 5th STAMMTISCH at Institut für Fahrzeugtechnik und Mechanik (Prof. Faßbender) and UniCasino

25.05.2023, 16:00-ca.17:30

 Florian Babl (CODE): AI for Knowledge Extraction from news articles Fabian Deuser (ETTI):
Generating Novel Views from Public Images
  

06.02.2023, 16:00-ca.17:30

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]

18.01.2023, 16:30/18:00

 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
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
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

MLIG Organizer

Dr. rer. nat. Philipp J. Rösch