172 citations · 821 across the 34 of their papers we have counts for
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stat.ML2026
Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation
Manuel Haußmann, Ramon Winterhalder, Maria Ubiali
Reliable uncertainty quantification is essential for the use of machine learning in physics, where scientific discoveries depend on validated probabilistic statements. We provide a…
stat.ML2021★ 2 cited
Latent Space Refinement for Deep Generative Models
Ramon Winterhalder, Marco Bellagente, Benjamin Nachman
Deep generative models are becoming widely used across science and industry for a variety of purposes. A common challenge is achieving a precise implicit or explicit representation…