v1v2v3 (latest)

An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

50 / 838 papers shown

Title
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution Fengyuan Liu Haochen Luo Yiming Li Philip Torr Jindong Gu VLM 63 7 0 03 Apr 2024
Remote sensing framework for geological mapping via stacked autoencoders and clustering Sandeep Nagar E. Farahbakhsh Joseph Awange Rohitash Chandra 35 4 0 02 Apr 2024
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 58 1 0 02 Apr 2024
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning Jakaria Rabbi Johannes Kiechle Christian Beaulieu Nilanjan Ray Dana Cobzas 82 0 0 31 Mar 2024
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models Xiang Li Fan Bu Ambuj Mehrish Yingting Li Jiale Han Bo Cheng Soujanya Poria DiffM 59 6 0 31 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 108 6 0 29 Mar 2024
Convergence analysis of OT-Flow for sample generation Yang Jing Lei Li 57 1 0 24 Mar 2024
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model Yizhu Wen Kai Yi Jing Ke Yiqing Shen DiffM 74 8 0 20 Mar 2024
denoiSplit: a method for joint image splitting and unsupervised denoising Ashesh Ashesh Florian Jug 64 2 0 18 Mar 2024
Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms J. J. Mathew Rakin Ahsan Sae Furukawa Jagdish Gautham Krishna Kumar Huzaifa Pallan Agamjeet Singh Padda Sara Adamski Madhu Reddiboina Arjun Pankajakshan 61 3 0 18 Mar 2024
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection J. Wolleb Florentin Bieder Paul Friedrich Peter Zhang Alicia Durrer P. Cattin DiffM MedIm 64 3 0 18 Mar 2024
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model Dian Zheng Xiao-Ming Wu Shuzhou Yang Jian Zhang Jianfang Hu Wei-Shi Zheng DiffM 111 39 0 17 Mar 2024
ARtVista: Gateway To Empower Anyone Into Artist Trong-Vu Hoang Quang-Binh Nguyen Duy-Nam Ly Khanh-Duy Le Tam V. Nguyen Minh-Triet Tran Trung-Truc Huynh-Le 97 4 0 13 Mar 2024
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge Hasanul Mahmud Peng Kang Kevin Desai P. Lama Sushil Prasad 94 3 0 11 Mar 2024
Applied Causal Inference Powered by ML and AI Victor Chernozhukov Christian Hansen Nathan Kallus Martin Spindler Vasilis Syrgkanis CML 84 32 0 04 Mar 2024
$Γ$ -VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data Jason Z. Kim Nicolas Perrin-Gilbert Erkan Narmanli Paul Klein Christopher R. Myers Itai Cohen J. Waterfall James P. Sethna DRL 38 0 0 02 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 149 5 0 01 Mar 2024
Time-bound Contextual Bio-ID Generation for Minimalist Wearables Adiba Orzikulova Diana A. Vasile F. Kawsar Chulhong Min 53 1 0 01 Mar 2024
Towards Generalizable Tumor Synthesis Qi Chen Xiaoxi Chen Haorui Song Zhiwei Xiong Alan Yuille Chen Wei Zongwei Zhou MedIm 136 46 0 29 Feb 2024
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities Guangyuan Liu Nguyen Van Huynh Hongyang Du D. Hoang Dusit Niyato Kun Zhu Jiawen Kang Zehui Xiong Abbas Jamalipour Dong In Kim 101 14 0 28 Feb 2024
Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source Eric Lepowsky David Snyder Alexander Glaser Anirudha Majumdar 90 0 0 27 Feb 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications Gaurav Raut Apoorv Singh VLM MedIm 112 7 0 26 Feb 2024
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data Manuel Schürch Laura Boos V. Heinzelmann-Schwarz Gabriele Gut Michael Krauthammer Andreas Wicki Tumor Profiler Consortium 47 3 0 19 Feb 2024
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model Tanzila Rahman Shweta Mahajan Hsin-Ying Lee Jian Ren Sergey Tulyakov Leonid Sigal 163 4 0 18 Feb 2024
Evaluating the Stability of Deep Learning Latent Feature Spaces A. O. Mabadeje Michael J. Pyrcz 13 0 0 17 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 78 29 0 15 Feb 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 93 2 0 15 Feb 2024
Latent space configuration for improved generalization in supervised autoencoder neural networks Nikita Gabdullin DRL 65 1 0 13 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 54 1 0 12 Feb 2024
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation Tonglong Wei Youfang Lin Shengnan Guo Yan Lin YiHeng Huang Chenyang Xiang Yuqing Bai Menglu Ya Huaiyu Wan 85 12 0 12 Feb 2024
The World of Generative AI: Deepfakes and Large Language Models Alakananda Mitra Saraju Mohanty Elias Kougianos 53 8 0 06 Feb 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning Lirui Wang Jialiang Zhao Yilun Du Edward H. Adelson Russ Tedrake 146 36 0 04 Feb 2024
eXplainable Bayesian Multi-Perspective Generative Retrieval EuiYul Song Philhoon Oh Sangryul Kim James Thorne BDL 54 0 0 04 Feb 2024
Robust Inverse Graphics via Probabilistic Inference Tuan Anh Le Pavel Sountsov Matthew D. Hoffman Ben Lee Brian Patton Rif A. Saurous 73 0 0 02 Feb 2024
Machine Unlearning for Image-to-Image Generative Models Guihong Li Hsiang Hsu Chun-Fu Chen R. Marculescu MU VLM 148 30 0 01 Feb 2024
Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy B. Slautin Yongtao Liu Hiroshi Funakubo Sergei V. Kalinin 40 6 0 30 Jan 2024
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data Navid Ziaei Behzad Nazari Uri T. Eden A. Widge Ali Yousefi 45 3 0 29 Jan 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 63 2 0 29 Jan 2024
Diffusion-based Graph Generative Methods Hongyang Chen Can Xu Lingyu Zheng Qiang Zhang Xuemin Lin DiffM MedIm 96 0 0 28 Jan 2024
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models Fabio Merizzi Andrea Asperti Stefano Colamonaco 62 10 0 27 Jan 2024
Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios Jibinraj Antony Vinit Hegiste Ali Nazeri Hooman Tavakoli Snehal Walunj Christiane Plociennik Martin Ruskowski 53 2 0 23 Jan 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 156 1 0 23 Jan 2024
C2Ideas: Supporting Creative Interior Color Design Ideation with Large Language Model Yihan Hou Manling Yang Hao Cui Lei Wang Jie Xu Wei Zeng 3DV LRM 84 28 0 23 Jan 2024
Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey Jiayuan Chen You Shi Changyan Yi Hongyang Du Jiawen Kang Dusit Niyato 76 29 0 22 Jan 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning Hao Liu Biraj Dahal Rongjie Lai Wenjing Liao AI4CE 60 5 0 19 Jan 2024
Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning Salar Nouri Naghadeh Mojdeh Karbalaee Motalleb V. Shah-Mansouri Seyed Pooya Shariatpanahi 66 4 0 16 Jan 2024
HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation Antoine Mercier Ramin Nakhli Mahesh Reddy R. Yasarla Hong Cai Fatih Porikli Guillaume Berger DiffM 97 16 0 15 Jan 2024
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces Tobia Boschi Francesca Bonin Rodrigo Ordonez-Hurtado Alessandra Pascale Jonathan Epperlein 54 4 0 11 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 88 0 0 11 Jan 2024
Energy based diffusion generator for efficient sampling of Boltzmann distributions Yan Wang Ling Guo Hao Wu Tao Zhou DiffM 100 4 0 04 Jan 2024