2 papers
cs.LG2026
Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning
Michal Kobiela, Diego A. Oyarzún, Michael U. Gutmann
The design of biological systems is hindered by uncertainty arising from both intrinsic stochasticity of biomolecular reactions and variability across laboratory or experimental co…
cs.LG2026
Fast and Robust Simulation-Based Inference With Optimization Monte Carlo
Vasilis Gkolemis, Christos Diou, Michael U. Gutmann
Bayesian parameter inference for complex stochastic simulators is challenging due to intractable likelihood functions. Existing simulation-based inference methods often require lar…