Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2 Ali Borji DiffM 93 121 0 02 Oct 2022
Towards Learned Simulators for Cell Migration Koen Minartz Y. Poels Vlado Menkovski 42 1 0 02 Oct 2022
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping Aamir Mustafa Param Hanji Rafał K. Mantiuk 45 10 0 30 Sep 2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li Jana Fragemann Seyed-Ahmad Ahmadi Jens Kleesiek Jan Egger DRL 32 4 0 29 Sep 2022
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty Satya Borgohain Klaus Ackermann Rubén Loaiza-Maya BDL UQCV 18 0 0 29 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 110 106 0 29 Sep 2022
Retrieval Based Time Series Forecasting Baoyu Jing Si Zhang Yada Zhu B. Peng K. Guan A. Margenot Hanghang Tong AI4TS 42 10 0 27 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 37 1 0 27 Sep 2022
Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules Dimitris Nasikas E. Ricci Georgios Paliouras V. Karkaletsis D. Theodorou Niki Vergadou 49 6 0 26 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 33 5 0 26 Sep 2022
Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech Yusuke Nakai Yuki Saito K. Udagawa Hiroshi Saruwatari AAML 30 1 0 26 Sep 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 32 12 0 26 Sep 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 40 6 0 24 Sep 2022
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning Boris Ivanovic James Harrison Marco Pavone AI4CE 38 27 0 23 Sep 2022
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation Jiaheng Hu Julian Whiman Howie Choset 42 16 0 23 Sep 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 44 15 0 23 Sep 2022
An artificial neural network-based system for detecting machine failures using tiny sound data: A case study Thanh Tran S. Bader J. Lundgren 23 1 0 23 Sep 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 31 3 0 23 Sep 2022
Motion Guided Deep Dynamic 3D Garments Meng Zhang Duygu Ceylan Niloy J. Mitra 3DH AI4CE 70 25 0 23 Sep 2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty Mohamad H. Danesh Panpan Cai David Hsu 22 7 0 23 Sep 2022
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras Thomas Dubail Fidel Alejandro Guerrero Peña H. R. Medeiros Masih Aminbeidokhti Eric Granger M. Pedersoli 54 6 0 22 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 38 4 0 22 Sep 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey R. Bhushan Gopaluni Aditya Tulsyan Benoît Chachuat Biao Huang J. M. Lee Faraz Amjad S. Damarla Jong Woo Kim Nathan P. Lawrence AI4CE 26 38 0 22 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 43 10 0 21 Sep 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 35 4 0 21 Sep 2022
Approximate sampling and estimation of partition functions using neural networks George T. Cantwell BDL DRL 24 1 0 21 Sep 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 27 11 0 21 Sep 2022
Bit Allocation using Optimization Tongda Xu Han-yi Gao Chenjian Gao Yuanyuan Wang Dailan He ... Mao Ye Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 56 14 0 20 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 42 35 0 19 Sep 2022
Can segmentation models be trained with fully synthetically generated data? Virginia Fernandez W. H. Pinaya Pedro Borges Petru-Daniel Tudosiu M. Graham Tom Kamiel Magda Vercauteren M. Jorge Cardoso DiffM MedIm 53 46 0 17 Sep 2022
Artificial Intelligence for In Silico Clinical Trials: A Review Zifeng Wang Chufan Gao Lucas Glass Jimeng Sun 41 12 0 16 Sep 2022
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt 3DV OCL DRL 34 8 0 16 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 32 1 0 15 Sep 2022
Lossy Image Compression with Conditional Diffusion Models Ruihan Yang Stephan Mandt DiffM 11 128 0 14 Sep 2022
Efficient Unsupervised Learning for Plankton Images P. D. Alfano Marco Rando Marco Letizia Francesca Odone Lorenzo Rosasco Vito Paolo Pastore 16 7 0 14 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 25 0 0 14 Sep 2022
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 28 2 0 13 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 52 21 0 12 Sep 2022
The Mori-Zwanzig formulation of deep learning D. Venturi Xiantao Li 35 1 0 12 Sep 2022
Deep Convolutional Pooling Transformer for Deepfake Detection Tianyi Wang Harry Cheng Kam-pui Chow Liqiang Nie ViT 34 67 0 12 Sep 2022
Use Classifier as Generator Haoyang Li VLM 15 0 0 10 Sep 2022
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice Conversion Ruibin Yuan Yuxuan Wu Jacob Li Jaxter Kim 37 5 0 09 Sep 2022
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators Xiaodan Du Raymond A. Yeh Nicholas I. Kolkin Eli Shechtman Gregory Shakhnarovich CLIP 34 1 0 08 Sep 2022
Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network Yunfeng Zhao S. Ferguson Huiyu Zhou K. Rafferty 21 3 0 08 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 43 10 0 08 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization Nicholas A. Ketz Praveen K. Pilly OffRL 27 1 0 07 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 59 25 0 06 Sep 2022
CausalRCA: Causal Inference based Precise Fine-grained Root Cause Localization for Microservice Applications Ruyue Xin Peng Chen Zhiming Zhao 27 36 0 06 Sep 2022
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs T. Boccato Matteo Ferrante A. Duggento N. Toschi 28 2 0 05 Sep 2022