On the Limitations of Multimodal VAEs

On the Limitations of Multimodal VAEs

8 October 2021

Imant Daunhawer

Thomas M. Sutter

Kieran Chin-Cheong

Emanuele Palumbo

Papers citing "On the Limitations of Multimodal VAEs"

9 / 9 papers shown

Title
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders R. A. Mancisidor Robert Jenssen Shujian Yu Michael C. Kampffmeyer 15 0 0 02 May 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou Yizhou Wang Yibo Yan Yuanhuiyi Lyu Kening Zheng ... Junkai Chen Peijie Jiang J. Liu Chang Tang Xuming Hu 78 7 0 04 Oct 2024
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 26 0 0 18 Aug 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 45 17 0 28 Feb 2024
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 25 1 0 31 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 27 1 0 19 May 2023
Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities A. L. Aguila James Chapman Andre Altmann 14 10 0 16 Mar 2023
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 168 311 0 07 Feb 2020