Showing 1–20 of 36 results
/ Date/ Name
Feb 12, 2020Targeted free energy estimation via learned mappingsSep 30, 2019Hamiltonian Generative NetworksNov 15, 2018Woulda, Coulda, Shoulda: Counterfactually-Guided Policy SearchJul 18, 2022Gauge-equivariant flow models for sampling in lattice field theories with pseudofermionsMay 13, 2019Differentiable Game MechanicsAug 12, 2020Sampling using $SU(N)$ gauge equivariant flowsJan 19, 2024Applications of flow models to the generation of correlated lattice QCD ensemblesSep 27, 2019Automated curricula through setter-solver interactionsNov 16, 2021Normalizing flows for atomic solidsMay 3, 2023Normalizing flows for lattice gauge theory in arbitrary space-time dimensionNov 3, 2004Quantisation of Lie-Poisson manifoldsFeb 23, 2022Flow-based sampling in the lattice Schwinger model at criticalityFeb 6, 2020Normalizing Flows on Tori and SpheresDec 5, 2018Towards a Definition of Disentangled RepresentationsJan 20, 2021Introduction to Normalizing Flows for Lattice Field TheoryFeb 15, 2018The Mechanics of n-Player Differentiable GamesApr 7, 2017Recurrent Environment SimulatorsJul 19, 2017Learning model-based planning from scratchSep 3, 2023Advances in machine-learning-based sampling motivated by lattice quantum chromodynamicsNov 14, 2022Aspects of scaling and scalability for flow-based sampling of lattice QCD