activity
20242026
collaborators

12 papers

cs.LG2026

Revisiting the Platonic Representation Hypothesis: An Aristotelian View

Fabian Gröger, Shuo Wen, Maria Brbić

The Platonic Representation Hypothesis suggests that representations from neural networks are converging to a common statistical model of reality. We show that the existing metrics…

cs.CV2026

CleanPatrick: A Benchmark for Image Data Cleaning

Fabian Gröger, Simone Lionetti, Philippe Gottfrois +12

Robust machine learning depends on clean data, yet current image data cleaning benchmarks rely on synthetic noise or narrow human studies, limiting comparison and real-world releva…

cs.AI2025

Clinical Uncertainty Impacts Machine Learning Evaluations

Simone Lionetti, Fabian Gröger, Philippe Gottfrois +4

Clinical dataset labels are rarely certain as annotators disagree and confidence is not uniform across cases. Typical aggregation procedures, such as majority voting, obscure this…

cs.CV2025

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You

Fabian Gröger, Shuo Wen, Huyen Le +1

Multimodal models have demonstrated powerful capabilities in complex tasks requiring multimodal alignment, including zero-shot classification and cross-modal retrieval. However, ex…

cs.SD2025

Representation-Based Data Quality Audits for Audio

Alvaro Gonzalez-Jimenez, Fabian Gröger, Linda Wermelinger +4

Data quality issues such as off-topic samples, near duplicates, and label errors often limit the performance of audio-based systems. This paper addresses these issues by adapting S…

cs.CV2025

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Alvaro Gonzalez-Jimenez, Simone Lionetti, Ludovic Amruthalingam +4

Medical anomaly detection has emerged as a promising solution to challenges in data availability and labeling constraints. Traditional methods extract features from different layer…