29 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2025
CFMI: Flow Matching for Missing Data Imputation
Vaidotas Simkus, Michael U. Gutmann
We introduce conditional flow matching for imputation (CFMI), a new general-purpose method to impute missing data. The method combines continuous normalising flows, flow-matching,…
cond-mat.mtrl-sci2025★ 29 cited
Orb-v3: atomistic simulation at scale
Benjamin Rhodes, Sander Vandenhaute, Vaidotas Šimkus +4
We introduce Orb-v3, the next generation of the Orb family of universal interatomic potentials. Models in this family expand the performance-speed-memory Pareto frontier, offering…
cs.LG2023★ 1 cited
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling
Vaidotas Simkus, Michael U. Gutmann
Conditional sampling of variational autoencoders (VAEs) is needed in various applications, such as missing data imputation, but is computationally intractable. A principled choice…