ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.10013
  4. Cited By
Flow-based Generative Models for Learning Manifold to Manifold Mappings
v1v2 (latest)

Flow-based Generative Models for Learning Manifold to Manifold Mappings

AAAI Conference on Artificial Intelligence (AAAI), 2020
18 December 2020
Xingjian Zhen
Rudrasis Chakraborty
Liu Yang
Vikas Singh
    DRLMedIm
ArXiv (abs)PDFHTML

Papers citing "Flow-based Generative Models for Learning Manifold to Manifold Mappings"

4 / 4 papers shown
ArcSin: Adaptive ranged cosine Similarity injected noise for
  Language-Driven Visual Tasks
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks
Yang Liu
Xiaomin Yu
Gongyu Zhang
Christos Bergeles
Prokar Dasgupta
Alejandro Granados
Sebastien Ourselin
242
4
0
27 Feb 2024
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
Youssef Mourchid
M. Donias
Y. Berthoumieu
Mohamed Najim
GAN
416
2
0
21 Dec 2023
Modular Flows: Differential Molecular Generation
Modular Flows: Differential Molecular GenerationNeural Information Processing Systems (NeurIPS), 2022
Yogesh Verma
Samuel Kaski
Markus Heinonen
Vikas Garg
462
15
0
12 Oct 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
AI4TS
302
14
0
03 Dec 2021
1
Page 1 of 1