InfoVAE: Information Maximizing Variational Autoencoders

7 June 2017

Papers citing "InfoVAE: Information Maximizing Variational Autoencoders"

50 / 65 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 78 0 0 24 Apr 2025
Model Synthesis for Zero-Shot Model Attribution Tianyun Yang Juan Cao Danding Wang Chang Xu WIGM 68 4 0 20 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 89 1 0 25 Nov 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes Jonathan D. McCart Andrew R. Sedler Christopher Versteeg Domenick M. Mifsud Mattia Rigotti-Thompson C. Pandarinath DiffM SyDa 23 1 0 30 Jul 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 44 2 0 24 May 2024
Egocentric Scene-aware Human Trajectory Prediction Weizhuo Wang C. Karen Liu Monroe Kennedy 39 0 0 27 Mar 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 36 1 0 24 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 32 1 0 05 Jan 2024
Latent Feature-Guided Diffusion Models for Shadow Removal Kangfu Mei Luis Figueroa Zhe-nan Lin Zhihong Ding Scott D. Cohen Vishal M. Patel DiffM 24 18 0 04 Dec 2023
TURBO: The Swiss Knife of Auto-Encoders Guillaume Quétant Yury Belousov Vitaliy Kinakh S. Voloshynovskiy 24 6 0 11 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 17 0 0 01 Nov 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 15 1 0 18 Feb 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes Siyuan Huang Zan Wang Puhao Li Baoxiong Jia Tengyu Liu Yixin Zhu Wei Liang Song-Chun Zhu DiffM 61 199 0 15 Jan 2023
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs Saravanabalagi Ramachandran Jonathan Horgan Ganesh Sistu J. McDonald 3DV 16 1 0 26 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review M. Brendel Chang Su Zilong Bai Hao Zhang O. Elemento Fei-Yue Wang 22 39 0 11 Oct 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 19 5 0 01 Jun 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 33 14 0 23 May 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 19 3 0 06 Apr 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 21 20 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 60 19 0 28 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 15 21 0 14 Feb 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 48 4 0 11 Feb 2022
The Representation Jensen-Rényi Divergence J. Hoyos-Osorio Oscar Skean A. Brockmeier L. S. Giraldo 14 2 0 02 Dec 2021
Global and Local Alignment Networks for Unpaired Image-to-Image Translation Guanglei Yang H. Tang Humphrey Shi M. Ding N. Sebe Radu Timofte Luc Van Gool Elisa Ricci 11 1 0 19 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi-An Ma 20 30 0 12 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
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 22 26 0 10 Sep 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 41 17 0 30 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 19 118 0 12 Jun 2021
AI Fairness via Domain Adaptation Neil J. Joshi Philippe Burlina 21 15 0 15 Mar 2021
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking Jiachen Li Hengbo Ma Zhihao Zhang Jinning Li M. Tomizuka 50 68 0 18 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 163 0 15 Feb 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 34 24 0 21 Nov 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 15 1 0 16 Nov 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 4 0 0 19 Oct 2020
Anomaly Detection With Conditional Variational Autoencoders Adrian Alan Pol Victor Berger G. Cerminara Cécile Germain M. Pierini CML DRL 11 111 0 12 Oct 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 11 52 0 09 Oct 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 32 46 0 09 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 24 12 0 01 Jun 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 29 61 0 27 Apr 2020
The Variational InfoMax Learning Objective Vincenzo Crescimanna Bruce P. Graham 11 0 0 07 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 21 21 0 26 Feb 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 24 81 0 02 Jan 2020
Active Learning for Segmentation Based on Bayesian Sample Queries Firat Özdemir Z. Peng Philipp Fürnstahl C. Tanner O. Goksel 22 22 0 22 Dec 2019
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Octavia Camps 30 214 0 18 Nov 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text Bohan Li Junxian He Graham Neubig Taylor Berg-Kirkpatrick Yiming Yang DRL 11 70 0 02 Sep 2019
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S. Berchuck Felipe A. Medeiros S. Mukherjee BDL 15 3 0 24 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 13 83 0 24 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier Yao Li DRL 16 0 0 17 Aug 2019