Generative Models of Visually Grounded Imagination

30 May 2017

Papers citing "Generative Models of Visually Grounded Imagination"

32 / 32 papers shown

Title
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders R. A. Mancisidor Robert Jenssen Shujian Yu Michael C. Kampffmeyer 27 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 Gales 43 10 0 09 May 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 48 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 57 0 0 29 Dec 2022
A Graphical Model for Fusing Diverse Microbiome Data Mehmet Aktukmak Haonan Zhu M. Chevrette Julia Nepper S. Magesh J. Handelsman Alfred Hero 24 2 0 21 Aug 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 21 14 0 02 Mar 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 54 3 0 20 Dec 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 30 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 27 19 0 04 Nov 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 30 5 0 09 Oct 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 34 14 0 20 Sep 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 42 20 0 23 Jun 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 24 89 0 06 May 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 41 139 0 02 Dec 2020
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 29 33 0 20 Oct 2020
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models Yuge Shi Brooks Paige Philip Torr N. Siddharth VLM 31 36 0 02 Jul 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 39 67 0 15 Jun 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 29 115 0 13 Feb 2020
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 32 266 0 08 Nov 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs Shuyu Lin Stephen J. Roberts Niki Trigoni R. Clark DRL 21 15 0 09 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard Turner Sebastian Nowozin DRL BDL CoGe 117 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 28 116 0 03 Dec 2018
Multi-Source Neural Variational Inference Richard Kurle Stephan Günnemann Patrick van der Smagt BDL SSL DRL 17 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 46 599 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 39 57 0 05 Sep 2018
Disentangled VAE Representations for Multi-Aspect and Missing Data Samuel K. Ainsworth N. Foti E. Fox DRL 27 15 0 24 Jun 2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 21 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 24 51 0 11 Jul 2017