Exploring Predictive States via Cantor Embeddings and Wasserstein Distance

9 June 2022

Papers citing "Exploring Predictive States via Cantor Embeddings and Wasserstein Distance"

10 / 10 papers shown

Title
Topology, Convergence, and Reconstruction of Predictive States S. Loomis James P. Crutchfield AI4CE 42 8 0 19 Sep 2021
Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$ -Machines N. Brodu James P. Crutchfield CML 65 16 0 23 Nov 2020
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Adam T. Rupe Nalini Kumar V. Epifanov K. Kashinath O. Pavlyk ... M. Patwary Sergey Maidanov Victor W. Lee M. Prabhat James P. Crutchfield AI4CE 46 19 0 25 Sep 2019
Statistical Signatures of Structural Organization: The case of long memory in renewal processes Sarah E. Marzen James P. Crutchfield 82 19 0 06 Dec 2015
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality Sarah E. Marzen M. DeWeese James P. Crutchfield 51 36 0 18 Apr 2015
Hilbert Space Embeddings of Predictive State Representations Byron Boots Geoffrey J. Gordon Arthur Gretton 119 95 0 26 Sep 2013
Bayesian Structural Inference for Hidden Processes Christopher C. Strelioff James P. Crutchfield 75 61 0 05 Sep 2013
Modern hierarchical, agglomerative clustering algorithms Daniel Müllner 193 670 0 12 Sep 2011
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 219 747 0 30 Jul 2009
Optimal Causal Inference: Estimating Stored Information and Approximating Causal Architecture Susanne Still James P. Crutchfield C. J. Ellison CML 125 49 0 11 Aug 2007