Particle gradient descent model for point process generation
暂无分享,去创建一个
[1] S. Mallat,et al. New interpretable statistics for large-scale structure analysis and generation , 2020, 2006.06298.
[2] K. Schneider,et al. Divergence and convergence of inertial particles in high-Reynolds-number turbulence , 2020, Journal of Fluid Mechanics.
[3] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[4] Sixin Zhang,et al. Maximum Entropy Models from Phase Harmonic Covariances , 2019, Applied and Computational Harmonic Analysis.
[5] Dominic Schuhmacher,et al. Metrics and barycenters for point pattern data , 2019, Statistics and Computing.
[6] J. Dvořák,et al. Stochastic Reconstruction for Inhomogeneous Point Patterns , 2019, Methodology and Computing in Applied Probability.
[7] Roberto Leonarduzzi,et al. Maximum-entropy Scattering Models for Financial Time Series , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Joakim Andén,et al. Kymatio: Scattering Transforms in Python , 2018, J. Mach. Learn. Res..
[9] Yue Qi,et al. Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction , 2018, ArXiv.
[10] Sixin Zhang,et al. Phase harmonic correlations and convolutional neural networks , 2018, Information and Inference: A Journal of the IMA.
[11] Mariette Yvinec,et al. Geometric and Topological Inference , 2018 .
[12] Drew F. K. Williamson,et al. TDAstats: R pipeline for computing persistent homology in topological data analysis , 2018, J. Open Source Softw..
[13] R. Onishi,et al. Turbulent enhancement of radar reflectivity factor for polydisperse cloud droplets , 2018, Atmospheric Chemistry and Physics.
[14] Joan Bruna,et al. Multiscale sparse microcanonical models , 2018, Mathematical Statistics and Learning.
[15] Tuomas Rajala,et al. A review on anisotropy analysis of spatial point patterns , 2017, Spatial Statistics.
[16] Frédéric Chazal,et al. An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists , 2017, Frontiers in Artificial Intelligence.
[17] D. Dereudre. Introduction to the Theory of Gibbs Point Processes , 2017, Stochastic Geometry.
[18] Jae Oh Woo,et al. On the entropy and mutual information of point processes , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).
[19] R. S. Stoica,et al. Bisous model - Detecting filamentary patterns in point processes , 2016, Astron. Comput..
[20] F. Stillinger,et al. Ground states of stealthy hyperuniform potentials: I. Entropically favored configurations. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] F. Stillinger,et al. Ground states of stealthy hyperuniform potentials. II. Stacked-slider phases. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] Leon A. Gatys,et al. Texture Synthesis Using Convolutional Neural Networks , 2015, NIPS.
[23] Brittany Terese Fasy,et al. Introduction to the R package TDA , 2014, ArXiv.
[24] Adrian Baddeley,et al. Multitype point process analysis of spines on the dendrite network of a neuron , 2014 .
[25] G. Peyré,et al. Sliced and Radon Wasserstein Barycenters of Measures , 2014, Journal of Mathematical Imaging and Vision.
[26] Thorsten Wiegand,et al. Handbook of Spatial Point-Pattern Analysis in Ecology , 2013 .
[27] Nicolas Bonnotte. Unidimensional and Evolution Methods for Optimal Transportation , 2013 .
[28] Daryl J. Daley,et al. An Introduction to the Theory of Point Processes , 2013 .
[29] Pierre Brémaud,et al. MATHEMATICAL PRINCIPLES OF SIGNAL PROCESSING: FOURIER AND WAVELET ANALYSIS , 2012 .
[30] Michael Unser,et al. 3D steerable wavelets and monogenic analysis for bioimaging , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[31] Julien Rabin,et al. Wasserstein Barycenter and Its Application to Texture Mixing , 2011, SSVM.
[32] A. Pumir,et al. Inertial particle collisions in turbulent synthetic flows: quantifying the sling effect. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[33] A. Pumir,et al. Intermittent particle distribution in synthetic free-surface turbulent flows. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[34] D. Stoyan,et al. Statistical Analysis and Modelling of Spatial Point Patterns , 2008 .
[35] Eva Bjørn Vedel Jensen,et al. Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks , 2007, Stat. Comput..
[36] A. Tscheschel,et al. Statistical reconstruction of random point patterns , 2006, Comput. Stat. Data Anal..
[37] Kai Schneider,et al. Coherent vortex extraction and simulation of 2D isotropic turbulence , 2006 .
[38] S. Torquato,et al. Random Heterogeneous Materials: Microstructure and Macroscopic Properties , 2005 .
[39] J. Mateu,et al. Detection of cosmic filaments using the Candy model , 2004, astro-ph/0405370.
[40] Ilya S. Molchanov,et al. Steepest descent algorithms in a space of measures , 2002, Stat. Comput..
[41] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[42] T. Mattfeldt. Stochastic Geometry and Its Applications , 1996 .
[43] D. Stoyan,et al. Fractals, random shapes and point fields : methods of geometrical statistics , 1996 .
[44] J. Nocedal,et al. A Limited Memory Algorithm for Bound Constrained Optimization , 1995, SIAM J. Sci. Comput..
[45] Y. Meyer. Wavelets and Operators , 1993 .
[46] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[47] U. Greb,et al. The interpretation of the bispectrum and bicoherence for non-linear interactions of continuous spectra , 1988 .
[48] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] M. S. Bartlett,et al. The spectral analysis of two-dimensional point processes , 1964 .
[50] E. Jaynes. Information Theory and Statistical Mechanics , 1957 .
[51] Bartlomiej Blaszczyszyn,et al. Random Measures, Point Processes, and Stochastic Geometry , 2020 .
[52] Stéphane Mallat. A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2009 .
[53] Emmanuel Bacry,et al. Continuous cascade models for asset returns , 2008 .
[54] S. Mallat,et al. A Wavelet Tour of Signal Processing : The Sparse Way , 2008 .
[55] M. Kenward,et al. An Introduction to the Bootstrap , 2007 .
[56] Peter J. Diggle,et al. Modelling the Bivariate Spatial Distribution of Amacrine Cells , 2006 .
[57] S. Torquato. Random Heterogeneous Materials , 2002 .
[58] Pierre Brémaud,et al. Mathematical principles of signal processing , 2002 .
[59] Kluwer Academic Publishers. Methodology and computing in applied probability , 1999 .