Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities

Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities

22 July 2024

José A. Carrillo

Daniel Zhengyu Huang

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Papers citing "Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities"

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Title
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 151 2 0 28 Jan 2025
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces B. Kerimkulov J. Leahy David Siska Lukasz Szpruch Yufei Zhang 72 12 0 04 Oct 2023
Ensemble Markov chain Monte Carlo with teleporting walkers M. Lindsey Jonathan Weare Anna Zhang 51 17 0 04 Jun 2021
Solving and Learning Nonlinear PDEs with Gaussian Processes Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 69 156 0 24 Mar 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 233 786 0 13 Mar 2020
Information Newton's flow: second-order optimization method in probability space Yifei Wang Wuchen Li 84 31 0 13 Jan 2020
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 87 808 0 07 Feb 2019
Global convergence of neuron birth-death dynamics Grant M. Rotskoff Samy Jelassi Joan Bruna Eric Vanden-Eijnden 41 46 0 05 Feb 2019
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations T. Schneider Shiwei Lan Andrew M. Stuart J. Teixeira AI4Cl 71 319 0 31 Aug 2017
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 130 946 0 18 Feb 2015
Dimension-independent likelihood-informed MCMC Tiangang Cui K. Law Youssef M. Marzouk 56 199 0 13 Nov 2014