Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Blur, Noise, and Compression Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada 12 17 0 17 Mar 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 21 4 0 17 Mar 2020
A Novel Online Action Detection Framework from Untrimmed Video Streams Da-Hye Yoon Nam-Gyu Cho Seong-Whan Lee 38 20 0 17 Mar 2020
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models Giulia Slavic Damian Campo Mohamad Baydoun P. Marín David Martín L. Marcenaro C. Regazzoni DRL 27 13 0 17 Mar 2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences B. Rezaei Amirreza Farnoosh Sarah Ostadabbas 37 10 0 16 Mar 2020
Hierarchical Models: Intrinsic Separability in High Dimensions Wen-Yan Lin 19 0 0 15 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 229 0 13 Mar 2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space Xiaoyuan Yi Ruoyu Li Cheng Yang Wenhao Li Maosong Sun 17 34 0 13 Mar 2020
Wasserstein-based Graph Alignment Hermina Petric Maretic Mireille El Gheche Matthias Minder Giovanni Chierchia P. Frossard OT 12 23 0 12 Mar 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 29 96 0 12 Mar 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 31 62 0 12 Mar 2020
Deep generative models in DataSHIELD S. Lenz Harald Binder FedML SyDa OOD MedIm 8 18 0 11 Mar 2020
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models A. Berlati Oliver Scheel Luigi Di Stefano Federico Tombari 26 5 0 10 Mar 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 32 21 0 10 Mar 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay Qicheng Lao Xiang Jiang Mohammad Havaei Yoshua Bengio VLM 23 33 0 09 Mar 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks Alice Plebe M. Lio 17 2 0 09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 32 213 0 09 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 46 20 0 08 Mar 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 147 45 0 08 Mar 2020
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory Nabiha Asghar I. Kobyzev Jesse Hoey Pascal Poupart Muhammad Bilal Sheikh 45 10 0 07 Mar 2020
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study Zhibin Zhao Tianfu Li Jingyao Wu Chuang Sun Shibin Wang Ruqiang Yan Xuefeng Chen 23 417 0 06 Mar 2020
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images Lei Kang Pau Riba Yaxing Wang Marçal Rusiñol Alicia Fornés M. Villegas DiffM GAN 30 78 0 05 Mar 2020
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder Chen Feng Jianzong Wang Tongxu Li Junqing Peng Jing Xiao DRL 27 0 0 04 Mar 2020
Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction Daniel Yang Tarik Tosun Ben Eisner Volkan Isler Daniel D. Lee 3DV 30 30 0 03 Mar 2020
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network K. Yeo D. E. C. Grullon Fan-Keng Sun Duane S. Boning Jayant Kalagnanam BDL 26 3 0 02 Mar 2020
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 47 94 0 02 Mar 2020
Warwick Electron Microscopy Datasets Jeffrey M. Ede 30 14 0 02 Mar 2020
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 67 57 0 02 Mar 2020
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction E. Jun A. Mulyadi Jaehun Choi Heung-Il Suk 30 20 0 02 Mar 2020
ML4Chem: A Machine Learning Package for Chemistry and Materials Science Muammar El Khatib W. A. Jong VLM 23 6 0 02 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 13 43 0 01 Mar 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing Zhe Zeng Paolo Morettin Fanqi Yan Antonio Vergari Guy Van den Broeck TPM 25 16 0 28 Feb 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 36 69 0 28 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 27 77 0 27 Feb 2020
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering Chuang Niu Jun Zhang Ge Wang Jimin Liang SSL 29 70 0 27 Feb 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 31 50 0 26 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 28 21 0 26 Feb 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 Feb 2020
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models Imke Mayer Julie Josse Félix Raimundo Jean-Philippe Vert CML 31 12 0 25 Feb 2020
CookGAN: Meal Image Synthesis from Ingredients Fangda Han Ricardo Guerrero Vladimir Pavlovic GAN 27 28 0 25 Feb 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 25 7 0 22 Feb 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 30 67 0 21 Feb 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 25 166 0 21 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 109 823 0 19 Feb 2020
Variational Encoder-based Reliable Classification Chitresh Bhushan Zhaoyuan Yang Nurali Virani N. Iyer DRL 18 5 0 19 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 23 612 0 19 Feb 2020
A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs Florian List G. Lewis 24 14 0 19 Feb 2020
Short-Term Traffic Flow Prediction Using Variational LSTM Networks Mehrdad Farahani Marzieh Farahani Mohammad Manthouri O. Kaynak AI4TS 11 7 0 18 Feb 2020
Gravitational-wave parameter estimation with autoregressive neural network flows Stephen R. Green C. Simpson J. Gair BDL 88 87 0 18 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 27 96 0 18 Feb 2020