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Marginalizable Density Models

Marginalizable Density Models

8 June 2021
D. Gilboa
Ari Pakman
Thibault Vatter
    BDL
ArXivPDFHTML

Papers citing "Marginalizable Density Models"

6 / 6 papers shown
Title
Local Flow Matching Generative Models
Local Flow Matching Generative Models
Chen Xu
Xiuyuan Cheng
Yao Xie
39
0
0
03 Jan 2025
Online Neural Path Guiding with Normalized Anisotropic Spherical
  Gaussians
Online Neural Path Guiding with Normalized Anisotropic Spherical Gaussians
Jiawei Huang
Akito Iizuka
Hajime Tanaka
Taku Komura
Y. Kitamura
3DGS
12
2
0
11 Mar 2023
AdaCat: Adaptive Categorical Discretization for Autoregressive Models
AdaCat: Adaptive Categorical Discretization for Autoregressive Models
Qiyang Li
Ajay Jain
Pieter Abbeel
OffRL
37
4
0
03 Aug 2022
Learning Generative Models using Denoising Density Estimators
Learning Generative Models using Denoising Density Estimators
Siavash Bigdeli
Geng Lin
Tiziano Portenier
L. A. Dunbar
Matthias Zwicker
DiffM
26
15
0
08 Jan 2020
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
348
0
14 Jun 2018
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
96
1,342
0
06 Jul 2016
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