2 papers
cs.LG2026
Inverse Design for Conditional Distribution Matching
Ori Meidler, Shaul Tolkovsky, Or Zuk
Generative models are powerful tools for sampling from a learned distribution , and inverse-design methods invert this map to find an input that produces…
stat.ML2026
Measuring and Decomposing Mode Separation via the Canonical Diffusion
Shaul Tolkovsky, Ori Meidler, Or Zuk
Mode separation, namely how sharply a distribution fragments into barrier-separated clusters, is a fundamental geometric property of densities, difficult to quantify in high dimens…