Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data

29 May 2018

Papers citing "Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data"

12 / 12 papers shown

Title
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders R. A. Mancisidor Robert Jenssen Shujian Yu Michael C. Kampffmeyer 22 0 0 02 May 2025
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 32 1 0 19 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 16 11 0 05 May 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 26 77 0 21 Nov 2022
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva 19 7 0 07 Oct 2021
Audio-to-Image Cross-Modal Generation Maciej Żelaszczyk Jacek Mañdziuk DiffM 46 15 0 27 Sep 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 11 89 0 06 May 2021
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos Andrew Rouditchenko Angie Boggust David F. Harwath Brian Chen D. Joshi ... Rogerio Feris Brian Kingsbury M. Picheny Antonio Torralba James R. Glass SSL 22 141 0 16 Jun 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 31 67 0 15 Jun 2020
Translating Visual Art into Music Max Müller-Eberstein N. V. Noord DRL 13 7 0 03 Sep 2019
Learning Factorized Multimodal Representations Yao-Hung Hubert Tsai Paul Pu Liang Amir Zadeh Louis-Philippe Morency Ruslan Salakhutdinov DRL 42 401 0 16 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 248 890 0 11 Nov 2017