Generative Models of Visually Grounded Imagination

30 May 2017

Papers citing "Generative Models of Visually Grounded Imagination"

25 / 25 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
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 36 0 0 18 Aug 2024
Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons Adian Liusie Vatsal Raina Yassir Fathullah Mark J. F. Gales 43 9 0 09 May 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 35 2 0 05 Mar 2024
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 32 1 0 19 May 2023
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization Feihong Shen Jingjing Liu Hai-Zhen Li B. Fang Chenglong Ma Jinxiang Hao Yang Feng Youyi Zheng Youyi Zheng MedIm DiffM 46 0 0 29 Dec 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 43 3 0 20 Dec 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 16 76 0 04 Nov 2021
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series Daniel Kramer P. Bommer Carlo Tombolini G. Koppe Daniel Durstewitz BDL AI4TS AI4CE 14 18 0 04 Nov 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 20 5 0 09 Oct 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 11 89 0 06 May 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 14 138 0 02 Dec 2020
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard E. Turner 16 33 0 20 Oct 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 31 67 0 15 Jun 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 19 115 0 13 Feb 2020
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip H. S. Torr DRL 19 266 0 08 Nov 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs Shuyu Lin Stephen J. Roberts Niki Trigoni R. Clark DRL 11 15 0 09 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard E. Turner Sebastian Nowozin DRL BDL CoGe 109 25 0 05 Sep 2019
Emergence of Compositional Language with Deep Generational Transmission Michael Cogswell Jiasen Lu Stefan Lee Devi Parikh Dhruv Batra 16 49 0 19 Apr 2019
Disentangling Latent Hands for Image Synthesis and Pose Estimation Linlin Yang Angela Yao CoGe DRL 26 116 0 03 Dec 2018
Multi-Source Neural Variational Inference Richard Kurle Stephan Günnemann Patrick van der Smagt BDL SSL DRL 13 25 0 11 Nov 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 32 595 0 04 Oct 2018
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference Mike Wu Milan Mossé Noah D. Goodman Chris Piech AI4Ed UQCV HAI 26 57 0 05 Sep 2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 19 11 0 20 May 2018
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 13 51 0 11 Jul 2017