3 papers
cs.LG2026
Beyond Additive Decompositions: Interpretability Through Separability
Jinyang Liu, Munir Eberhardt Hiabu
Interpretable machine learning requires models that are accurate and structurally faithful to the data. Existing explainability methods rely heavily on additive representations (e.…
cs.CV2025
Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study
Max Torop, Masih Eskandar, Nicholas Kurtansky +6
Artificial Intelligence models have demonstrated significant success in diagnosing skin diseases, including cancer, showing the potential to assist clinicians in their analysis. Ho…
cs.CV2025
3D-HGS: 3D Half-Gaussian Splatting
Haolin Li, Jinyang Liu, Mario Sznaier +1
Photo-realistic image rendering from 3D scene reconstruction has advanced significantly with neural rendering techniques. Among these, 3D Gaussian Splatting (3D-GS) outperforms Neu…