Flow-based Generative Models for Learning Manifold to Manifold Mappings

18 December 2020

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

4 / 4 papers shown

Title
RIE-SenseNet: Riemannian Manifold Embedding of Multi-Source Industrial Sensor Signals for Robust Pattern Recognition Jiaju Kang Puyu Han Yang Chun Xu Wang Luqi Gong 58 0 0 04 Feb 2025
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization Youssef Mourchid M. Donias Y. Berthoumieu Mohamed Najim GAN 30 1 0 21 Dec 2023
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 11 14 0 12 Oct 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016