Home | Research | Research Blog

Research Blog

Welcome to our research blog, where we proudly showcase the talents and achievements of our researchers, with a special focus on our junior members. Here, you’ll gain insight into their innovative work and the fresh ideas they bring to the ever-evolving fields of AI and machine learning.

Link to Beyond the Black Box: Choosing the Right Feature Importance Method

27.03.2025

Beyond the Black Box: Choosing the Right Feature Importance Method

MCML Research Insight - With Fiona Katharina Ewald, Ludwig Bothmann, Giuseppe Casalicchio and Bernd Bischl

Machine learning models make powerful predictions, but can we really trust them if we don’t understand how they work? Global feature importance methods help us discover which factors really matter - but choosing the wrong method can lead to misleading conclusions. To see why this is important, …

Link to ReNO: A Smarter Way to Enhance AI-Generated Images

13.03.2025

ReNO: A Smarter Way to Enhance AI-Generated Images

MCML Research Insight - With Luca Eyring, Shyamgopal Karthik, Karsten Roth and Zeynep Akata

Despite their impressive capabilities, Text-to-Image (T2I) models frequently misinterpret detailed prompts, leading to errors in object positioning, attribute accuracy, and color fidelity. Traditional improvements rely on extensive dataset training, which is not only computationally expensive but also may not generalize well to unseen prompts. To …

Link to Research at EWCS at the Broad Institute of MIT and Harvard

04.03.2025

Research at EWCS at the Broad Institute of MIT and Harvard

Cecilia Casolo - Funded by the MCML AI X-Change Program

During my research stay at Broad Institute of MIT and Harvard in autumn 2024, I had the pleasure of being part of the research group led by Caroline Uhler, Director of the Eric and Wendy Schmidt Center (EWCS) at the Broad Institute, and Andrew (1956) and Erna Viterbi Professor of Engineering in EECS and IDSS at MIT. My three-month stay in Boston …

Link to ChatGPT in Radiology: Making Medical Reports Patient-Friendly?

23.02.2025

ChatGPT in Radiology: Making Medical Reports Patient-Friendly?

MCML Research Insight - With Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber and Philipp Wesp and MCML PI Michael Ingrisch

Medical reports, especially in radiology, are commonly difficult for patients to understand. Filled with complex terminology and specialized jargon, these reports are primarily written for medical professionals, often leaving patients struggling to make sense of their diagnoses. But what if AI could help? Recognizing this potential early on, the …

Link to Can AI Help Solve Complex Physics Equations? Meet APEBench

11.02.2025

Can AI Help Solve Complex Physics Equations? Meet APEBench

MCML Research Insight - With Felix Köhler, Rüdiger Westermann and Nils Thuerey

Our Junior Member Felix Köhler, together with our PIs Rüdiger Westermann and Nils Thuerey, and collaborator Simon Niedermayr, have introduced APEBench, an innovative benchmark suite. APEBench sets a new standard for evaluating autoregressive neural emulators, which are designed to solve partial differential equations (PDEs)—the fundamental …

Link to Improving Business Processes

06.02.2025

Improving Business Processes

Researcher in Focus: Gabriel Marques Tavares

MCML Junior Member Gabriel Marques Tavares has a PostDoc position at the chair of Database Systems and Data Mining at LMU Munich. His research focus is in the field of Process Mining, which investigates the execution of business processes within organizations, aiming at improving their performance, saving resources and identifying bottlenecks.

Load more