Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence

15 June 2020

Papers citing "Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence"

34 / 34 papers shown

Title
FedRecon: Missing Modality Reconstruction in Distributed Heterogeneous Environments Junming Liu Guosun Zeng Ding Wang Yanting Gao Yufei Jin 43 0 0 14 Apr 2025
Unity by Diversity: Improved Representation Learning in Multimodal VAEs Thomas M. Sutter Yang Meng Andrea Agostini Daphné Chopard Norbert Fortin Julia E. Vogt Bahbak Shahbaba Stephan Mandt SSL 54 2 0 08 Jan 2025
Correlating Variational Autoencoders Natively For Multi-View Imputation Ella S. C. Orme Marina Evangelou Ulrich Paquet CML 32 0 0 05 Nov 2024
Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference Yuta Oshima Masahiro Suzuki Y. Matsuo 38 0 0 15 Oct 2024
From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning Haodong Xie R. S. Maharjan Federico Tavella Angelo Cangelosi GAN 16 0 0 03 Oct 2024
Learning Multimodal Latent Generative Models with Energy-Based Prior Shiyu Yuan Jiali Cui Hanao Li Tian Han 34 0 0 30 Sep 2024
Learning Multimodal Latent Space with EBM Prior and MCMC Inference Shiyu Yuan Carlo Lipizzi Tian Han 31 1 0 20 Aug 2024
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 36 0 0 18 Aug 2024
A tutorial on multi-view autoencoders using the multi-view-AE library A. L. Aguila André Altmann 49 2 0 12 Mar 2024
Text-to-Image Cross-Modal Generation: A Systematic Review Maciej Żelaszczyk Jacek Mańdziuk 35 3 0 21 Jan 2024
Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders Sayantan Kumar Philip R. O. Payne Aristeidis Sotiras 20 5 0 02 Dec 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 40 34 0 12 Oct 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 10 0 0 01 Sep 2023
Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning Xiaoyu Chen Changde Du Qiongyi Zhou Huiguang He 22 5 0 08 Aug 2023
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 24 13 0 07 Jun 2023
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 28 11 0 05 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 1 0 08 Apr 2023
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance Wardah Ali Eesha Qureshi Omama Ahmed Farooqi Rizwan Ahmed Khan 26 5 0 20 Jan 2023
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit G. Sejnova M. Vavrecka Karla Stepanova VGen 20 0 0 07 Sep 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 57 76 0 05 Jul 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 24 26 0 09 Jun 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann David Mizrahi Andrei Atanov Amir Zamir 41 265 0 04 Apr 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 51 3 0 20 Dec 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 28 5 0 09 Oct 2021
On the Limitations of Multimodal VAEs Imant Daunhawer Thomas M. Sutter Kieran Chin-Cheong Emanuele Palumbo Julia E. Vogt 36 27 0 08 Oct 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 29 20 0 23 Jun 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 19 89 0 06 May 2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems Diego Antognini Boi Faltings LRM 62 16 0 03 May 2021
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts Martin Milenkoski Diego Antognini C. Musat 6 0 0 26 Apr 2021
Composable Generative Models Johan Leduc Nicolas Grislain SyDa 33 4 0 18 Feb 2021
Constraining Variational Inference with Geometric Jensen-Shannon Divergence J. Deasy Nikola Simidjievski Pietro Lió DRL 17 29 0 18 Jun 2020
Solving Bayesian Inverse Problems via Variational Autoencoders Hwan Goh Sheroze Sheriffdeen J. Wittmer T. Bui-Thanh BDL 22 38 0 05 Dec 2019
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means Frank Nielsen 6 175 0 08 Apr 2019