ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.04486
  4. Cited By
Efficient Flow Matching using Latent Variables

Efficient Flow Matching using Latent Variables

7 May 2025
Anirban Samaddar
Yixuan Sun
Viktor Nilsson
Sandeep Madireddy
ArXivPDFHTML

Papers citing "Efficient Flow Matching using Latent Variables"

22 / 22 papers shown
Title
Variational Rectified Flow Matching
Variational Rectified Flow Matching
Pengsheng Guo
Alex Schwing
104
3
0
13 Feb 2025
FlowLLM: Flow Matching for Material Generation with Large Language
  Models as Base Distributions
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
Anuroop Sriram
Benjamin Kurt Miller
Ricky T. Q. Chen
Brandon M. Wood
AI4CE
56
20
0
30 Oct 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
Majdi Hassan
Nikhil Shenoy
Jungyoon Lee
Hannes Stärk
Stephan Thaler
Dominique Beaini
67
10
0
29 Oct 2024
Structured Diffusion Models with Mixture of Gaussians as Prior
  Distribution
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution
Nanshan Jia
Tingyu Zhu
Haoyu Liu
Zeyu Zheng
DiffM
41
3
0
24 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh
Marten Lienen
David Lüdke
Leo Schwinn
Stephan Günnemann
AI4TS
BDL
DiffM
78
7
0
03 Oct 2024
REMEDI: Corrective Transformations for Improved Neural Entropy
  Estimation
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
Viktor Nilsson
Anirban Samaddar
Sandeep Madireddy
Pierre Nyquist
42
2
0
08 Feb 2024
CoCoGen: Physically-Consistent and Conditioned Score-based Generative
  Models for Forward and Inverse Problems
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems
Christian L. Jacobsen
Yilin Zhuang
Karthik Duraisamy
AI4CE
SyDa
DiffM
73
21
0
16 Dec 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion
  Models
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang
Yi Ding
Huangjie Zheng
Peihao Wang
Pengcheng He
Zhangyang Wang
Weizhu Chen
Mingyuan Zhou
58
107
0
25 Apr 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
DiffM
294
309
0
15 Mar 2023
Improving and generalizing flow-based generative models with minibatch
  optimal transport
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong
Kilian Fatras
Nikolay Malkin
G. Huguet
Yanlei Zhang
Jarrid Rector-Brooks
Guy Wolf
Yoshua Bengio
OOD
DiffM
OT
95
288
0
01 Feb 2023
Flow Matching for Generative Modeling
Flow Matching for Generative Modeling
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
OOD
177
1,274
0
06 Oct 2022
Soft Diffusion: Score Matching for General Corruptions
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras
M. Delbracio
Hossein Talebi
A. Dimakis
P. Milanfar
DiffM
87
108
0
12 Sep 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
166
988
0
07 Sep 2022
A Differential Entropy Estimator for Training Neural Networks
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler
Pierre Colombo
Malik Boudiaf
Günther Koliander
Pablo Piantanida
125
23
0
14 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
355
15,373
0
20 Dec 2021
Diffusion Schrödinger Bridge with Applications to Score-Based
  Generative Modeling
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
93
461
0
01 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
181
7,765
0
11 May 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
294
6,409
0
26 Nov 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
67
908
0
08 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
498
17,888
0
19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
331
10,591
0
17 Feb 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular
  Dynamics
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong
Jessie Huang
Guy Wolf
David van Dijk
Smita Krishnaswamy
62
168
0
09 Feb 2020
1