27.03.2025
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, …
13.03.2025
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 …
©MCML
04.03.2025
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 …
23.02.2025
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 …
11.02.2025
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 …
06.02.2025
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.
2024-11-22 - Last modified: 2025-01-16