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Score-based Generative Neural Networks for Large-Scale Optimal Transport

Score-based Generative Neural Networks for Large-Scale Optimal Transport

7 October 2021
Max Daniels
Tyler Maunu
Paul Hand
    OT
    DiffM
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Papers citing "Score-based Generative Neural Networks for Large-Scale Optimal Transport"

17 / 17 papers shown
Title
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Fanghua Yu
Jinjin Gu
Jinfan Hu
Zheyuan Li
Chao Dong
DiffM
55
0
0
21 Mar 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun
Pengxiang Ding
Weinan Zhang
Donglin Wang
OT
83
0
0
24 Feb 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva
Jaemoo Choi
Alexander Kolesov
Jaewoong Choi
Petr Mokrov
Alexander Korotin
OT
46
0
0
04 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
56
16
0
06 Aug 2024
Curriculum Direct Preference Optimization for Diffusion and Consistency Models
Curriculum Direct Preference Optimization for Diffusion and Consistency Models
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
N. Sebe
Mubarak Shah
EGVM
89
6
0
22 May 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion
  Models beyond Spherical Linear Interpolation
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
PengFei Zheng
Yonggang Zhang
Zhen Fang
Tongliang Liu
Defu Lian
Bo Han
DiffM
42
8
0
13 Mar 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang
Michael Shavlovsky
Holakou Rahmanian
Elisa Tardini
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
OT
39
4
0
20 Jan 2024
Light Schrödinger Bridge
Light Schrödinger Bridge
Alexander Korotin
Nikita Gushchin
Evgeny Burnaev
OT
36
4
0
02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
49
2
0
02 Oct 2023
Reverse Stable Diffusion: What prompt was used to generate this image?
Reverse Stable Diffusion: What prompt was used to generate this image?
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
VLM
DiffM
42
6
0
02 Aug 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
Nikita Gushchin
Alexander Kolesov
Petr Mokrov
Polina Karpikova
A. Spiridonov
Evgeny Burnaev
Alexander Korotin
OT
DiffM
50
15
0
16 Jun 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
40
5
0
10 Mar 2023
Extremal Domain Translation with Neural Optimal Transport
Extremal Domain Translation with Neural Optimal Transport
Milena Gazdieva
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
40
11
0
30 Jan 2023
A Denoising Diffusion Model for Fluid Field Prediction
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang
Stefan Sommer
DiffM
AI4CE
36
27
0
27 Jan 2023
Entropic Neural Optimal Transport via Diffusion Processes
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin
Alexander Kolesov
Alexander Korotin
Dmitry Vetrov
Evgeny Burnaev
OT
DiffM
39
37
0
02 Nov 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
60
850
0
07 Sep 2022
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
131
101
0
28 Sep 2019
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