Stick-Breaking Variational Autoencoders

20 May 2016

Papers citing "Stick-Breaking Variational Autoencoders"

39 / 39 papers shown

Title
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 47 0 0 01 Oct 2024
On Kernel-based Variational Autoencoder Tian Qin Wei-Min Huang DRL BDL 71 1 0 21 May 2024
The VampPrior Mixture Model Andrew Stirn David A. Knowles BDL 34 1 0 06 Feb 2024
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder Zhenshan Bing Y. Meng Yuqi Yun Hang Su Xiaojie Su Kai-Qi Huang Alois C. Knoll BDL 19 1 0 23 May 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran Babak Shahbaba Stephan Mandt Maurizio Filippone SyDa BDL UQCV 34 5 0 09 Feb 2023
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels Charles Richter Patrick R. Barragán S. Karaman SSL 12 1 0 14 Dec 2022
Differentiable Causal Discovery Under Latent Interventions Gonccalo R. A. Faria André F. T. Martins Mário A. T. Figueiredo BDL CML OOD 45 23 0 04 Mar 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 26 8 0 09 Feb 2022
Deep Adaptive Multi-Intention Inverse Reinforcement Learning Ariyan Bighashdel Panagiotis Meletis P. Jancura Gijs Dubbelman 25 7 0 14 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 39 1 0 05 Jul 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 29 82 0 11 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 38 124 0 14 May 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 37 115 0 20 Apr 2021
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
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery Razieh Kaviani Baghbaderani Ying Qu Hairong Qi Craig Stutts 14 17 0 21 Jul 2020
Unsupervised Pansharpening Based on Self-Attention Mechanism Ying Qu Razieh Kaviani Baghbaderani Hairong Qi C. Kwan 33 69 0 16 Jun 2020
Variational Autoencoder with Embedded Student- $t$ Mixture Model for Authorship Attribution Benedikt T. Boenninghoff Steffen Zeiler R. M. Nickel D. Kolossa BDL DRL 33 2 0 28 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 20 158 0 25 May 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 32 29 0 19 Dec 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Daeryong Kim B. Suh 24 50 0 03 Nov 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 27 16 0 30 Oct 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 27 84 0 24 Aug 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 38 14 0 31 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 32 212 0 20 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 35 80 0 14 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
Variational AutoEncoder For Regression: Application to Brain Aging Analysis Qingyu Zhao Ehsan Adeli N. Honnorat Tuo Leng K. Pohl DRL BDL 19 83 0 11 Apr 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 32 101 0 09 Jan 2019
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 34 61 0 14 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 26 31 0 12 Sep 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 16 45 0 17 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 39 116 0 12 Jul 2018
New Losses for Generative Adversarial Learning Victor Berger Michèle Sebag GAN 22 0 0 03 Jul 2018
Nonparametric Bayesian Deep Networks with Local Competition Konstantinos P. Panousis S. Chatzis Sergios Theodoridis BDL 27 32 0 19 May 2018
Variational Composite Autoencoders Jiangchao Yao Ivor Tsang Ya Zhang BDL DRL 21 0 0 12 Apr 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 30 724 0 16 Nov 2016