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hamiltonian dynamics

35 papers

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bayesian inference (8) markov chain monte carlo (5) energy conservation (4) normalizing flow (3) hamiltonian monte carlo (3) mcmc sampling (3) system identification (3) gaussian process (3) variational inference (3) symplectic integrator (2)

Papers

SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021 SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision NeurIPS 2021 Hamiltonian Generative Networks ICLR 2020 Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control ICLR 2020 Accelerated Flow for Probability Distributions ICML 2019 Meta-Learning For Stochastic Gradient MCMC ICLR 2019 Magnetic Hamiltonian Monte Carlo ICML 2017 Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Spherical Hamiltonian Monte Carlo for Constrained Target Distributions ICML 2014