Статті в журналах з теми "Distances de Wasserstein"
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Solomon, Justin, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, and Leonidas Guibas. "Convolutional wasserstein distances." ACM Transactions on Graphics 34, no. 4 (July 27, 2015): 1–11. http://dx.doi.org/10.1145/2766963.
Повний текст джерелаKindelan Nuñez, Rolando, Mircea Petrache, Mauricio Cerda, and Nancy Hitschfeld. "A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 12 (March 24, 2024): 13202–10. http://dx.doi.org/10.1609/aaai.v38i12.29220.
Повний текст джерелаPanaretos, Victor M., and Yoav Zemel. "Statistical Aspects of Wasserstein Distances." Annual Review of Statistics and Its Application 6, no. 1 (March 7, 2019): 405–31. http://dx.doi.org/10.1146/annurev-statistics-030718-104938.
Повний текст джерелаKelbert, Mark. "Survey of Distances between the Most Popular Distributions." Analytics 2, no. 1 (March 1, 2023): 225–45. http://dx.doi.org/10.3390/analytics2010012.
Повний текст джерелаVayer, Titouan, Laetitia Chapel, Remi Flamary, Romain Tavenard, and Nicolas Courty. "Fused Gromov-Wasserstein Distance for Structured Objects." Algorithms 13, no. 9 (August 31, 2020): 212. http://dx.doi.org/10.3390/a13090212.
Повний текст джерелаBelili, Nacereddine, and Henri Heinich. "Distances de Wasserstein et de Zolotarev." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 330, no. 9 (May 2000): 811–14. http://dx.doi.org/10.1016/s0764-4442(00)00274-3.
Повний текст джерелаPeyre, Rémi. "Comparison between W2 distance and Ḣ−1 norm, and Localization of Wasserstein distance". ESAIM: Control, Optimisation and Calculus of Variations 24, № 4 (жовтень 2018): 1489–501. http://dx.doi.org/10.1051/cocv/2017050.
Повний текст джерелаTong, Qijun, and Kei Kobayashi. "Entropy-Regularized Optimal Transport on Multivariate Normal and q-normal Distributions." Entropy 23, no. 3 (March 3, 2021): 302. http://dx.doi.org/10.3390/e23030302.
Повний текст джерелаBeier, Florian, Robert Beinert, and Gabriele Steidl. "Multi-marginal Gromov–Wasserstein transport and barycentres." Information and Inference: A Journal of the IMA 12, no. 4 (September 18, 2023): 2720–52. http://dx.doi.org/10.1093/imaiai/iaad041.
Повний текст джерелаZhang, Zhonghui, Huarui Jing, and Chihwa Kao. "High-Dimensional Distributionally Robust Mean-Variance Efficient Portfolio Selection." Mathematics 11, no. 5 (March 6, 2023): 1272. http://dx.doi.org/10.3390/math11051272.
Повний текст джерелаPont, Mathieu, Jules Vidal, Julie Delon, and Julien Tierny. "Wasserstein Distances, Geodesics and Barycenters of Merge Trees." IEEE Transactions on Visualization and Computer Graphics 28, no. 1 (January 2022): 291–301. http://dx.doi.org/10.1109/tvcg.2021.3114839.
Повний текст джерелаSommerfeld, Max, and Axel Munk. "Inference for empirical Wasserstein distances on finite spaces." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80, no. 1 (May 18, 2017): 219–38. http://dx.doi.org/10.1111/rssb.12236.
Повний текст джерелаShao, Jinghai. "Ergodicity of regime-switching diffusions in Wasserstein distances." Stochastic Processes and their Applications 125, no. 2 (February 2015): 739–58. http://dx.doi.org/10.1016/j.spa.2014.10.007.
Повний текст джерелаBackhoff-Veraguas, Julio, Daniel Bartl, Mathias Beiglböck, and Manu Eder. "Adapted Wasserstein distances and stability in mathematical finance." Finance and Stochastics 24, no. 3 (June 4, 2020): 601–32. http://dx.doi.org/10.1007/s00780-020-00426-3.
Повний текст джерелаLipman, Y., and I. Daubechies. "Conformal Wasserstein distances: Comparing surfaces in polynomial time." Advances in Mathematics 227, no. 3 (June 2011): 1047–77. http://dx.doi.org/10.1016/j.aim.2011.01.020.
Повний текст джерелаPonti, Andrea, Ilaria Giordani, Matteo Mistri, Antonio Candelieri, and Francesco Archetti. "The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores." Big Data and Cognitive Computing 6, no. 4 (November 15, 2022): 138. http://dx.doi.org/10.3390/bdcc6040138.
Повний текст джерелаBlanchet, Jose, Yang Kang, and Karthyek Murthy. "Robust Wasserstein profile inference and applications to machine learning." Journal of Applied Probability 56, no. 3 (September 2019): 830–57. http://dx.doi.org/10.1017/jpr.2019.49.
Повний текст джерелаIacobelli, Mikaela. "A New Perspective on Wasserstein Distances for Kinetic Problems." Archive for Rational Mechanics and Analysis 244, no. 1 (February 7, 2022): 27–50. http://dx.doi.org/10.1007/s00205-021-01705-9.
Повний текст джерелаRobin, Yoann, Pascal Yiou, and Philippe Naveau. "Detecting changes in forced climate attractors with Wasserstein distance." Nonlinear Processes in Geophysics 24, no. 3 (July 31, 2017): 393–405. http://dx.doi.org/10.5194/npg-24-393-2017.
Повний текст джерелаÖcal, Kaan, Ramon Grima, and Guido Sanguinetti. "Parameter estimation for biochemical reaction networks using Wasserstein distances." Journal of Physics A: Mathematical and Theoretical 53, no. 3 (December 23, 2019): 034002. http://dx.doi.org/10.1088/1751-8121/ab5877.
Повний текст джерелаHAURAY, MAXIME. "WASSERSTEIN DISTANCES FOR VORTICES APPROXIMATION OF EULER-TYPE EQUATIONS." Mathematical Models and Methods in Applied Sciences 19, no. 08 (August 2009): 1357–84. http://dx.doi.org/10.1142/s0218202509003814.
Повний текст джерелаLoomis, Samuel P., and James P. Crutchfield. "Exploring predictive states via Cantor embeddings and Wasserstein distance." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 12 (December 2022): 123115. http://dx.doi.org/10.1063/5.0102603.
Повний текст джерелаGairing, Jan, Michael Högele, Tetiana Kosenkova, and Alexei Kulik. "Coupling distances between Lévy measures and applications to noise sensitivity of SDE." Stochastics and Dynamics 15, no. 02 (April 6, 2015): 1550009. http://dx.doi.org/10.1142/s0219493715500094.
Повний текст джерелаTabak, Gil, Minjie Fan, Samuel Yang, Stephan Hoyer, and Geoffrey Davis. "Correcting nuisance variation using Wasserstein distance." PeerJ 8 (February 28, 2020): e8594. http://dx.doi.org/10.7717/peerj.8594.
Повний текст джерелаSmith, Kristen J., Brad J. White, David E. Amrine, Robert L. Larson, Miles E. Theurer, Josh I. Szasz, Tony C. Bryant, and Justin W. Waggoner. "Evaluation of First Treatment Timing, Fatal Disease Onset, and Days from First Treatment to Death Associated with Bovine Respiratory Disease in Feedlot Cattle." Veterinary Sciences 10, no. 3 (March 8, 2023): 204. http://dx.doi.org/10.3390/vetsci10030204.
Повний текст джерелаLiu, Jialin, Wotao Yin, Wuchen Li, and Yat Tin Chow. "Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances." SIAM Journal on Scientific Computing 43, no. 1 (January 2021): A193—A220. http://dx.doi.org/10.1137/18m1219813.
Повний текст джерелаMémoli, Facundo. "Gromov–Wasserstein Distances and the Metric Approach to Object Matching." Foundations of Computational Mathematics 11, no. 4 (April 30, 2011): 417–87. http://dx.doi.org/10.1007/s10208-011-9093-5.
Повний текст джерелаBonafini, Mauro, and Bernhard Schmitzer. "Domain decomposition for entropy regularized optimal transport." Numerische Mathematik 149, no. 4 (November 19, 2021): 819–70. http://dx.doi.org/10.1007/s00211-021-01245-0.
Повний текст джерелаKim, Yoon-Tae, and Hyun-Suk Park. "Bound for an Approximation of Invariant Density of Diffusions via Density Formula in Malliavin Calculus." Mathematics 11, no. 10 (May 15, 2023): 2302. http://dx.doi.org/10.3390/math11102302.
Повний текст джерелаBigot, Jérémie. "Statistical data analysis in the Wasserstein space." ESAIM: Proceedings and Surveys 68 (2020): 1–19. http://dx.doi.org/10.1051/proc/202068001.
Повний текст джерелаKoehl, Patrice, Marc Delarue, and Henri Orland. "Computing the Gromov-Wasserstein Distance between Two Surface Meshes Using Optimal Transport." Algorithms 16, no. 3 (February 28, 2023): 131. http://dx.doi.org/10.3390/a16030131.
Повний текст джерелаMadras, Neal, and Deniz Sezer. "Quantitative bounds for Markov chain convergence: Wasserstein and total variation distances." Bernoulli 16, no. 3 (August 2010): 882–908. http://dx.doi.org/10.3150/09-bej238.
Повний текст джерелаMuskulus, Michael, and Sjoerd Verduyn-Lunel. "Wasserstein distances in the analysis of time series and dynamical systems." Physica D: Nonlinear Phenomena 240, no. 1 (January 2011): 45–58. http://dx.doi.org/10.1016/j.physd.2010.08.005.
Повний текст джерелаIrpino, Antonio, Rosanna Verde, and Francisco de A. T. De Carvalho. "Dynamic clustering of histogram data based on adaptive squared Wasserstein distances." Expert Systems with Applications 41, no. 7 (June 2014): 3351–66. http://dx.doi.org/10.1016/j.eswa.2013.12.001.
Повний текст джерелаSturm, Karl-Theodor. "Generalized Orlicz spaces and Wasserstein distances for convex–concave scale functions." Bulletin des Sciences Mathématiques 135, no. 6-7 (September 2011): 795–802. http://dx.doi.org/10.1016/j.bulsci.2011.07.013.
Повний текст джерелаFriesen, Martin, Peng Jin, and Barbara Rüdiger. "Stochastic equation and exponential ergodicity in Wasserstein distances for affine processes." Annals of Applied Probability 30, no. 5 (October 2020): 2165–95. http://dx.doi.org/10.1214/19-aap1554.
Повний текст джерелаWang, Feng-Yu. "Exponential Contraction in Wasserstein Distances for Diffusion Semigroups with Negative Curvature." Potential Analysis 53, no. 3 (February 6, 2020): 1123–44. http://dx.doi.org/10.1007/s11118-019-09800-z.
Повний текст джерелаFraser, Jonathan M. "First and second moments for self-similar couplings and Wasserstein distances." Mathematische Nachrichten 288, no. 17-18 (June 29, 2015): 2028–41. http://dx.doi.org/10.1002/mana.201400408.
Повний текст джерелаLuo, Dejun, and Jian Wang. "Refined basic couplings and Wasserstein-type distances for SDEs with Lévy noises." Stochastic Processes and their Applications 129, no. 9 (September 2019): 3129–73. http://dx.doi.org/10.1016/j.spa.2018.09.003.
Повний текст джерелаHairer, Martin, and Jonathan C. Mattingly. "Spectral gaps in Wasserstein distances and the 2D stochastic Navier–Stokes equations." Annals of Probability 36, no. 6 (November 2008): 2050–91. http://dx.doi.org/10.1214/08-aop392.
Повний текст джерелаSagiv, Amir. "The Wasserstein distances between pushed-forward measures with applications to uncertainty quantification." Communications in Mathematical Sciences 18, no. 3 (2020): 707–24. http://dx.doi.org/10.4310/cms.2020.v18.n3.a6.
Повний текст джерелаBeinert, Robert, Cosmas Heiss, and Gabriele Steidl. "On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line." SIAM Journal on Imaging Sciences 16, no. 2 (June 23, 2023): 1028–32. http://dx.doi.org/10.1137/22m1497808.
Повний текст джерелаAguech, Rafik, Nabil Lasmar, and Hosam Mahmoud. "Limit distribution of distances in biased random tries." Journal of Applied Probability 43, no. 2 (June 2006): 377–90. http://dx.doi.org/10.1239/jap/1152413729.
Повний текст джерелаAguech, Rafik, Nabil Lasmar, and Hosam Mahmoud. "Limit distribution of distances in biased random tries." Journal of Applied Probability 43, no. 02 (June 2006): 377–90. http://dx.doi.org/10.1017/s0021900200001704.
Повний текст джерелаR.U. Gobithaasan, Kirthana Devi Selvarajh, and Kenjiro T. Miura. "Clustering Datasaurus Dozen Using Bottleneck Distance, Wasserstein Distance (WD) and Persistence Landscapes." Journal of Advanced Research in Applied Sciences and Engineering Technology 38, no. 1 (January 24, 2024): 12–24. http://dx.doi.org/10.37934/araset.38.1.1224.
Повний текст джерелаBrecheteau, Claire, Edouard Genetay, Timothee Mathieu, and Adrien Saumard. "Topics in robust statistical learning." ESAIM: Proceedings and Surveys 74 (November 2023): 119–36. http://dx.doi.org/10.1051/proc/202374119.
Повний текст джерелаGattone, Stefano, Angela De Sanctis, Stéphane Puechmorel, and Florence Nicol. "On the Geodesic Distance in Shapes K-means Clustering." Entropy 20, no. 9 (August 29, 2018): 647. http://dx.doi.org/10.3390/e20090647.
Повний текст джерелаKwessi, Eddy. "Topological Comparison of Some Dimension Reduction Methods Using Persistent Homology on EEG Data." Axioms 12, no. 7 (July 18, 2023): 699. http://dx.doi.org/10.3390/axioms12070699.
Повний текст джерелаBerthet, Philippe, Jean-Claude Fort, and Thierry Klein. "A Central Limit Theorem for Wasserstein type distances between two distinct univariate distributions." Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 56, no. 2 (May 2020): 954–82. http://dx.doi.org/10.1214/19-aihp990.
Повний текст джерелаSolem, Susanne. "Convergence Rates of the Front Tracking Method for Conservation Laws in the Wasserstein Distances." SIAM Journal on Numerical Analysis 56, no. 6 (January 2018): 3648–66. http://dx.doi.org/10.1137/18m1189488.
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