InfoVAE: Information Maximizing Variational Autoencoders

7 June 2017

Papers citing "InfoVAE: Information Maximizing Variational Autoencoders"

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Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 88 0 0 24 Apr 2025
Model Synthesis for Zero-Shot Model Attribution Tianyun Yang Juan Cao Danding Wang Chang Xu WIGM 81 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 91 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 28 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 52 2 0 24 May 2024
Egocentric Scene-aware Human Trajectory Prediction Weizhuo Wang Chenxi Liu Monroe Kennedy 46 0 0 27 Mar 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 44 1 0 24 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 40 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 26 18 0 04 Dec 2023
TURBO: The Swiss Knife of Auto-Encoders Guillaume Quétant Yury Belousov Vitaliy Kinakh Slava Voloshynovskiy 26 6 0 11 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training Yu Yang Xiaotong Shen AI4CE TPM 24 0 0 01 Nov 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 23 143 0 24 Jul 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 31 8 0 02 Jun 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 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 64 201 0 15 Jan 2023
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 27 2 0 15 Nov 2022
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs Saravanabalagi Ramachandran Jonathan Horgan Ganesh Sistu J. McDonald 3DV 29 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 Wang 30 39 0 11 Oct 2022
Trajectory and Sway Prediction Towards Fall Prevention Weizhuo Wang Michael Raitor Steve Collins Chenxi Liu Monroe Kennedy 24 2 0 23 Sep 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 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 27 5 0 01 Jun 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 27 3 0 06 Apr 2022
Robustness and Adaptation to Hidden Factors of Variation William Paul Philippe Burlina 29 0 0 03 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 31 21 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 65 19 0 28 Feb 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 25 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 22 2 0 02 Dec 2021
Global and Local Alignment Networks for Unpaired Image-to-Image Translation Guanglei Yang Hao Tang Humphrey Shi M. Ding N. Sebe Radu Timofte Luc Van Gool Elisa Ricci 18 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 Ma 25 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 28 5 0 09 Oct 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 26 0 10 Sep 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 49 17 0 30 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 2021
Exploring Autoencoder-based Error-bounded Compression for Scientific Data Jinyang Liu Sheng Di Kai Zhao Sian Jin Dingwen Tao Xin Liang Zizhong Chen Franck Cappello 6 49 0 25 May 2021
AI Fairness via Domain Adaptation Neil J. Joshi Philippe Burlina 29 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 Masayoshi Tomizuka 55 68 0 18 Feb 2021
HDMI: High-order Deep Multiplex Infomax Baoyu Jing Chanyoung Park Hanghang Tong 98 164 0 15 Feb 2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation Wei Wang Baopu Li Shuhui Yang Jing Sun Zhengming Ding Junyang Chen Xiao Dong Zhihui Wang Haojie Li 39 11 0 25 Jan 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 42 24 0 21 Nov 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 31 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 14 0 0 19 Oct 2020
Anomaly Detection With Conditional Variational Autoencoders Adrian Alan Pol Victor Berger G. Cerminara Cécile Germain M. Pierini CML DRL 24 111 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 24 52 0 09 Oct 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 38 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 26 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 34 61 0 27 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 21 4 0 17 Mar 2020