An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

50 / 194 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 29 0 0 10 May 2025
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations Anthony Liang Pavel Czempin Matthew Hong Yutai Zhou Erdem Biyik Stephen Tu 47 0 0 08 May 2025
A Survey of Interactive Generative Video Jiwen Yu Yiran Qin Haoxuan Che Quande Liu X. Wang Pengfei Wan Di Zhang Kun Gai Hao Chen Xihui Liu VGen 53 0 0 30 Apr 2025
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets Hassan Wasswa Timothy Lynar Hussein Abbass 31 7 0 26 Apr 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 78 0 0 24 Apr 2025
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 65 0 0 23 Apr 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder Hassan Wasswa Aziida Nanyonga Timothy Lynar DRL 45 2 0 21 Apr 2025
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images David Wong Bin Wang Gorkem Durak M. Tliba M. A. Kerkouri ... Amir Borhani Hatice Savas Eric Hart Elizabeth A. Krupinski Ulas Bagci OOD MedIm 26 0 0 21 Apr 2025
Support is All You Need for Certified VAE Training Changming Xu Debangshu Banerjee Deepak Vasisht Gagandeep Singh AAML 39 0 0 16 Apr 2025
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay Hussain Jagirdar Rukma Talwadker Aditya Pareek Pulkit Agrawal Tridib Mukherjee AI4TS 36 1 0 03 Apr 2025
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers Lluís Palma Alejandro Peraza David Civantos Amanda Duarte Stefano Materia Ángel G. Muñoz Jesús Peña Laia Romero Albert Soret Markus G. Donat AI4TS 53 0 0 26 Mar 2025
HumanGif: Single-View Human Diffusion with Generative Prior Shoukang Hu Takuya Narihira Kazumi Fukuda Ryosuke Sawata Takashi Shibuya Yuki Mitsufuji 90 1 0 24 Feb 2025
Data Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach Andreas Loizou Dimitrios Tsoumakos 38 0 0 24 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 68 0 0 20 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 107 0 0 13 Feb 2025
EEG Artifact Detection and Correction with Deep Autoencoders David Aquilué-Llorens Aureli Soria-Frisch 40 0 0 12 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Krithika S. Iyer Mokshagna Sai Teja Karanam Shireen Elhabian 64 0 0 11 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 254 0 0 05 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu J. Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 77 0 0 28 Jan 2025
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking Zhang Liu Dusit Niyato Jiacheng Wang Geng Sun Lianfen Huang Zhibin Gao X. Wang 41 0 0 28 Jan 2025
CGI: Identifying Conditional Generative Models with Example Images Zhi-Hua Zhou Hao-Zhe Tan Peng-Xiao Song Lan-Zhe Guo DiffM 37 0 0 23 Jan 2025
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics Andrew Gracyk DRL 63 0 0 03 Jan 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 68 1 0 03 Jan 2025
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence Serge Dolgikh 39 0 0 31 Dec 2024
Foundation Models in Radiology: What, How, When, Why and Why Not Magdalini Paschali Zhihong Chen Louis Blankemeier Maya Varma Alaa Youssef Christian Bluethgen C. Langlotz S. Gatidis Akshay S. Chaudhari LM&MA MedIm AI4CE 89 2 0 27 Nov 2024
An Information-Theoretic Regularizer for Lossy Neural Image Compression Y. Zhang Meng Wang Xihua Sheng Peilin Chen Junru Li L. Zhang S. Wang 145 0 0 23 Nov 2024
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy Panagiota Gatoula Dimitrios E. Diamantis Anastasios Koulaouzidis Cristina Carretero Stefania Chetcuti-Zammit ... John Plevris Alexander Robertson Bruno Rosa Ervin Toth D. Iakovidis MedIm 52 0 0 31 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng R. Li Jundong Li Kaize Ding OOD 45 2 0 25 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 23 0 0 14 Oct 2024
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion Onkar Susladkar Jishu Sen Gupta Chirag Sehgal Sparsh Mittal Rekha Singhal DiffM VGen 33 0 0 10 Oct 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security Qianru Zhang Peng Yang Junliang Yu Haixin Wang Xingwei He S. Yiu Hongzhi Yin 36 0 0 03 Oct 2024
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 24 0 0 18 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 43 3 0 30 Aug 2024
Moonshine: Distilling Game Content Generators into Steerable Generative Models Yuhe Nie Michael Middleton Tim Merino Nidhushan Kanagaraja Ashutosh Kumar Zhan Zhuang Julian Togelius 45 0 0 18 Aug 2024
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation Zeyu Zhang Akide Liu Qi Chen Feng Chen Ian Reid Richard Hartley Bohan Zhuang Hao Tang Mamba 29 9 0 14 Jul 2024
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics Michael Moran Vladimir V. Gusev M. Gaultois Dmytro Antypov M. Rosseinsky AI4CE 25 0 0 30 Jun 2024
Subtractive Training for Music Stem Insertion using Latent Diffusion Models Ivan Villa-Renteria Mason L. Wang Zachary Shah Zhe Li Soohyun Kim Neelesh Ramachandran Mert Pilanci 34 0 0 27 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin N. V. Stein Carola Doerr T. Eftimov 46 1 0 08 Jun 2024
A deep causal inference model for fully-interpretable travel behaviour analysis K. Kamal Bilal Farooq 35 0 0 02 May 2024
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories Giacomo DÁmicantonio Egor Bondarau Peter H. N. de With AI4TS 42 0 0 19 Apr 2024
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios Guido Borghi Annalisa Franco Nicolò Di Domenico Matteo Ferrara Davide Maltoni 19 0 0 10 Apr 2024
Transformers for molecular property prediction: Lessons learned from the past five years Afnan Sultan Jochen Sieg M. Mathea Andrea Volkamer AI4CE 29 10 0 05 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 33 6 0 29 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 21 2 0 18 Mar 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 85 4 0 18 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 24 24 0 15 Feb 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 21 2 0 15 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 11 1 0 12 Feb 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 45 1 0 23 Jan 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning Hao Liu Biraj Dahal Rongjie Lai Wenjing Liao AI4CE 26 5 0 19 Jan 2024