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Convergence analysis of OT-Flow for sample generation

Convergence analysis of OT-Flow for sample generation

Yang Jing
Lei Li
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Papers citing "Convergence analysis of OT-Flow for sample generation"

6 / 6 papers shown
Title
A new approach to generalisation error of machine learning algorithms: Estimates and convergence
A new approach to generalisation error of machine learning algorithms: Estimates and convergence
M. Loulakis
C. Makridakis
15
4
0
23 Jun 2023
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
382
6,859
0
13 Apr 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao
Chongxuan Li
Jun Zhu
Bo Zhang
DiffM
89
344
0
17 Jan 2022
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
219
7,831
0
11 May 2021
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
202
1,691
0
05 Dec 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
136
873
0
02 Oct 2018