2 papers
cs.LG2026
De novo molecular structure elucidation from mass spectra via flow matching
Ghaith Mqawass, Tuan Le, Fabian Theis +1
Mass spectrometry is a powerful and widely used tool for identifying molecular structures due to its sensitivity and ability to profile complex samples. However, translating spectr…
cs.LG2025
Disentangled Representation Learning with the Gromov-Monge Gap
Théo Uscidda, Luca Eyring, Karsten Roth +3
Learning disentangled representations from unlabelled data is a fundamental challenge in machine learning. Solving it may unlock other problems, such as generalization, interpretab…