Unsupervised discovery of the shared and private geometry in multi-view data

Unsupervised discovery of the shared and private geometry in multi-view data

31 December 2024

Joshua B. Julian

Jesse C. Kaminsky

Manuel Schottdorf

Adam S. Charles

Papers citing "Unsupervised discovery of the shared and private geometry in multi-view data"

17 / 17 papers shown

Title
Revisiting Deep Generalized Canonical Correlation Analysis Paris A. Karakasis Nicholas D. Sidiropoulos CML 42 4 0 20 Dec 2023
Multi-View Causal Representation Learning with Partial Observability Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 86 34 0 07 Nov 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning Aapo Hyvarinen Ilyes Khemakhem H. Morioka CML OOD 69 34 0 29 Mar 2023
Unpaired Multi-Domain Causal Representation Learning Nils Sturma C. Squires Mathias Drton Caroline Uhler OOD CML 63 20 0 02 Feb 2023
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics Noga Mudrik Yenho Chen Eva Yezerets Christopher Rozell Adam S. Charles 63 16 0 07 Jun 2022
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qinjie Lyu Xiao Fu Weiran Wang Songtao Lu SSL 27 30 0 14 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 67 306 0 08 Jun 2021
LDLE: Low Distortion Local Eigenmaps Dhruv Kohli A. Cloninger Zhengchao Wan 48 18 0 26 Jan 2021
Multi-view Data Visualisation via Manifold Learning Theodoulos Rodosthenous V. Shahrezaei Marina Evangelou 16 8 0 17 Jan 2021
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving Sudeep Fadadu Shreyash Pandey Darshan Hegde Yi Shi Fang-Chieh Chou Nemanja Djuric Carlos Vallespi-Gonzalez 3DPC 39 71 0 27 Aug 2020
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Zhengchao Wan 43 38 0 07 Aug 2019
Joint Embedding of Words and Labels for Text Classification Guoyin Wang Chunyuan Li Wenlin Wang Yizhe Zhang Dinghan Shen Xinyuan Zhang Ricardo Henao Lawrence Carin AI4TS VLM 46 389 0 10 May 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 44 1,336 0 16 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 115 9,312 0 09 Feb 2018
Disentangling factors of variation in deep representations using adversarial training Michaël Mathieu Jiaqi Zhao Pablo Sprechmann Aditya A. Ramesh Yann LeCun DRL CML 84 490 0 10 Nov 2016
Deep Variational Canonical Correlation Analysis Weiran Wang Xinchen Yan Honglak Lee Karen Livescu DRL BDL 39 143 0 11 Oct 2016
On Deep Multi-View Representation Learning: Objectives and Optimization Weiran Wang R. Arora Karen Livescu J. Bilmes SSL DRL 38 909 0 02 Feb 2016