Papers citing 'MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning'

Title
Generative AI for RF Sensing in IoT systems Li Wang Chao Zhang Qiyang Zhao Hang Zou S. Lasaulce Giuseppe Valenzise Zhuo He Mérouane Debbah 143 11 0 10 Jul 2024
Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 G. Sejnova M. Vavrecka Karla Stepanova 272 2 0 02 Apr 2024
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware AttentionMachine Learning in Health Care (MLHC), 2023 Kwanhyung Lee Soojeong Lee Sangchul Hahn Heejung Hyun Edward Choi Byungeun Ahn Joohyung Lee 158 25 0 04 May 2023
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit G. Sejnova M. Vavrecka Karla Stepanova VGen 148 2 0 07 Sep 2022
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural modelsFrontiers in Neuroscience (Front. Neurosci.), 2022 Artem R. Muliukov Laurent Rodriguez Benoit Miramond Lyes Khacef Joachim Schmidt Quentin Berthet A. Upegui 156 6 0 06 Jan 2022
Composable Generative Models Johan Leduc Nicolas Grislain SyDa 126 5 0 18 Feb 2021