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CMU-Pitt Program in Computational Biology Dept. of Computational & Systems Biology, Machine Learning Department Dept. of Mathematical Sciences, University of Pittsburgh, Carnegie Mellon University, Courant Institute, New York University Machine Learning Lab Capital Fund Management
CMU Machine Learning2
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Flux Matching reveals reaction pathways and enhances sampling efficiency without needing prior knowledge of system dynamics.
Unlock accurate rare event simulations: this stochastic optimal control framework dramatically improves committor estimation, reaction rates, and equilibrium constants compared to existing methods.
