Fetching the paper…
Reading the bibliography…
This paper studies Kernel Density Estimation for a high-dimensional distribution $\rho(x)$.
Non-parametric estimation of a multivariate probability density
Vassiliy A Epanechnikov · 1969
Earlier work this paper cites.
Random-energy model: An exactly solvable model of disordered systems
Bernard Derrida · 1981
Earlier work this paper cites.
The simplest spin glass
D.J. Gross and M. Mezard · 1984
Earlier work this paper cites.
Nature of the spin-glass phase
M. Mezard, G. Parisi, N. Sourlas, G. Toulouse, and MA Virasoro · 1984
Earlier work this paper cites.
On the existence of thermodynamics for the random energy model
Enzo Olivieri and Pierre Picco · 1984
Earlier work this paper cites.
Random free energies in spin glasses
M Mézard, G Parisi, and MA Virasoro · 1985
Earlier work this paper cites.
Spin glass theory and beyond: An Introduction to the Replica Method and Its Applications
Marc Mézard, Giorgio Parisi, and Miguel Angel Virasoro · 1987
Earlier work this paper cites.
The probability distribution of the partition function of the random energy model
E Gardner and B Derrida · 1989
Earlier work this paper cites.
Feasibility of multivariate density estimates
David W Scott · 1991
Earlier work this paper cites.
Universality classes for extreme-value statistics
Jean-Philippe Bouchaud and Marc Mézard · 1997
Earlier work this paper cites.
Fluctuations of the free energy in the rem and the p p -spin sk models
Anton Bovier, Irina Kurkova, and Matthias Löwe · 2002
Cited alongside, same era.
Limit theorems for sums of random exponentials
Gérard Ben Arous, Leonid V Bogachev, and Stanislav A Molchanov · 2005
Cited alongside, same era.
All of nonparametric statistics
Larry Wasserman · 2006
Cited alongside, same era.
Information, physics, and computation
Marc Mezard and Andrea Montanari · 2009
Cited alongside, same era.
Stable distributions
John P Nolan · 2012
Cited alongside, same era.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Cited alongside, same era.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
Later among the works it cites.
Wavelet score-based generative modeling, 2022
Florentin Guth, Simon Coste, Valentin De Bortoli, and Stephane Mallat · 2022
Later among the works it cites.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Later among the works it cites.
Diffusion models: A comprehensive survey of methods and applications
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yang Song and Stefano Ermon · 2019
Cited alongside, same era.
High-Dimensional Statistics
Martin Wainwright · 2019
Cited alongside, same era.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
Cited alongside, same era.
Later among the works it cites.
Lumiere: A space-time diffusion model for video generation
Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, et al · 2024
Closest in time.
Dynamical regimes of diffusion models
Giulio Biroli, Tony Bonnaire, Valentin de Bortoli, and Marc Mézard · 2024
Closest in time.
Exponential capacity of dense associative memories
Carlo Lucibello and Marc Mézard · 2024
Closest in time.
The exponential capacity of dense associative memories
Carlo Lucibello and Marc Mézard · 2024
Closest in time.