Home | News

20.04.2026

Teaser image to Research Stay at École Polytechnique

Research Stay at École Polytechnique

Viktoria Ehm – Funded by the MCML AI X-Change Program

As a PhD student at the Technical University of Munich, supervised by Daniel Cremers and affiliated with the Munich Center for Machine Learning (MCML), I recently had the opportunity to spend a research stay at École Polytechnique near Paris. During this visit, I joined the research group of Maks Ovsjanikov, whose work at the intersection of geometry processing, computer vision, and machine learning has long influenced my own research. Being able to spend time with the group in person, learn from them, and discuss ideas directly was a very valuable experience. I am very grateful to Prof. Maks Ovsjanikov and his group for their warm welcome and for the many inspiring conversations throughout my stay.

Scientific Exchange and Collaboration

My research focuses on 3D shape analysis, a field at the intersection of computer vision and computer graphics. Maks Ovsjanikov is one of the leading researchers in this area, so it was a real privilege to work with him during my visit. Our discussions and joint work centred on the role of large language models in correspondence problems. Although I had worked on correspondence problems before, approaching them through language-based foundation models opened a new perspective for me and encouraged me to explore ideas I had not considered before.

École Polytechnique’s campus is located outside the centre of Paris, making it a calm place to focus on research, while offering many opportunities for exchange with the people on campus.

One highlight was a small poster session organised for the whole building, where I had the chance to present my research and speak with researchers from a range of different backgrounds. These conversations were both enjoyable and useful, and they added a broader perspective to my visit.

Outside the University

Beyond the academic side, I also had some time to explore Paris. The city has a great atmosphere, shaped by its history, architecture, and everyday street life. Moving between focused research discussions on campus and walks along the Seine or through different neighbourhoods created a nice balance during the stay.

Being in Paris in the weeks before Christmas made the experience even more memorable. I was able to see the Christmas markets and festive lights, and to get a better sense of how the season is experienced there. I also enjoyed the food very much, from fresh baguettes and pain au chocolat in the morning to galettes later in the day.

Looking Ahead

I enjoyed my stay at Polytechnique a lot and returned with new ideas, new contacts, and a broader perspective on my PhD research.

I am thankful to both groups, especially Daniel Cremers and Maks Ovsjanikov, as well as MCML, for making this exchange possible. Experiences like this show how much international collaboration can contribute to research.

#ai-x-change #blog #cremers

Related

Link to When Flatter Is Not Always Better

15.10.2026

When Flatter Is Not Always Better

In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.

Read more
Link to Björn Schuller: What Your Voice Reveals About Your Health

13.10.2026

Björn Schuller: What Your Voice Reveals About Your Health

MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.

Read more
Link to Honorable Mention at GCPR 2026

05.10.2026

Honorable Mention at GCPR 2026

A GCPR 2026 paper co-authored by MCML Director Daniel Cremers received an Honorable Mention at the conference in Siegen.

Read more
Link to Honorable Mention at GCPR 2026

05.10.2026

Honorable Mention at GCPR 2026

A GCPR 2026 paper co-authored by MCML Director Daniel Cremers and MCML PI Riccardo Marin received an Honorable Mention.

Read more
Link to Barbara Plank: Building Language Technology for Everyone

24.09.2026

Barbara Plank: Building Language Technology for Everyone

MCML PI Barbara Plank explores inclusive language technology and the challenges of building AI that supports linguistic diversity.

Read more
Back to Top