Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

8 November 2019

Yuge Shi

Siddharth Narayanaswamy

Papers citing "Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models"

25 / 25 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
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 28 0 0 18 Aug 2024
Video Relationship Detection Using Mixture of Experts A. Shaabana Zahra Gharaee Paul Fieguth 27 0 0 06 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 29 2 0 05 Mar 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Yuhang Liu Zhen Zhang Dong Gong Biwei Huang Mingming Gong A. Hengel Kun Zhang Javen Qinfeng Shi J. Shi 36 7 0 09 Feb 2024
Through-Wall Imaging based on WiFi Channel State Information Julian Strohmayer Rafael Sterzinger Christian Stippel Martin Kampel 19 0 0 30 Jan 2024
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 28 1 0 31 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 30 1 0 19 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 8 1 0 08 Apr 2023
Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities A. L. Aguila James Chapman Andre Altmann 16 10 0 16 Mar 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 25 10 0 01 Jan 2023
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following K. Akuzawa Yusuke Iwasawa Yutaka Matsuo GAN 28 0 0 29 Dec 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 19 77 0 21 Nov 2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments Abhinav Joshi Naman K. Gupta Jinang Shah Binod Bhattarai Ashutosh Modi Danail Stoyanov OffRL 28 2 0 07 Nov 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 21 66 0 13 Oct 2022
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 21 43 0 04 Aug 2022
Cross-Modal 3D Shape Generation and Manipulation Zezhou Cheng Menglei Chai Jian Ren Hsin-Ying Lee Kyle Olszewski Zeng Huang Subhransu Maji Sergey Tulyakov 31 31 0 24 Jul 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 16 26 0 09 Jun 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel Hritik Bansal S. Bhatia Ryan A. Rossi Vishwa Vinay Aditya Grover CLIP VLM 166 131 0 28 May 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning Akira Kinose Masashi Okada Ryogo Okumura T. Taniguchi OffRL 8 10 0 15 Mar 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 43 3 0 20 Dec 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva 16 7 0 07 Oct 2021
Multimodal VAE Active Inference Controller Cristian Meo Pablo Lanillos 11 24 0 07 Mar 2021
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting G. Felhi Joseph Leroux Djamé Seddah BDL 11 1 0 13 Oct 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 31 67 0 15 Jun 2020