Results 41 to 50 of about 56,672 (314)

AutoEncoder by Forest

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
Auto-encoding is an important task which is typically realized by deep neural networks (DNNs) such as convolutional neural networks (CNN). In this paper, we propose EncoderForest (abbrv. eForest), the first tree ensemble based auto-encoder.
Ji Feng, Zhi-Hua Zhou
openaire   +3 more sources

A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT [PDF]

The emergence of Generative Adversarial Network (GAN) techniques has garnered significant attention from the research community for the development of Intrusion Detection Systems (IDS).
Khattak, Aizaz Ahmad, Asiri, Fatima, Latif, Shahid, Ahmad, Jawad, Saidani, Oumaima, Alshehri, Mohammed S., Al Malwi, Wajdan   +6 more
core   +1 more source

Symmetric Wasserstein Autoencoders

CoRR, 2021
37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, July 27-30, 2021, Virtual ...
Sun, Sun, Guo, Hongyu
openaire   +4 more sources

Auto-Encoders Derivatives on Different Occluded Face Images: Comprehensive Review and New Results

IEEE Access
This paper presents a novel approach for improving occluded face recognition performance using a family of autoencoders (AE) architectures. The proposed structures include four stages: image preprocessing, feature extraction using autoencoder derivatives,
Azin Masoudi, Majid Ahmadi
doaj   +1 more source

Variational autoencoder architecture.

, 2021
Variational autoencoder architecture.
Rafael Geraldeli Rossi (11873826), Marcos Paulo Silva Gôlo (11873823), Ricardo Marcondes Marcacini (10455141)   +2 more
core   +1 more source

Generative model based on junction tree variational autoencoder for HOMO value prediction and molecular optimisation [PDF]

, 2022
In this work, we provide further development of the junction tree variational autoencoder (JT VAE) architecture in terms of implementation and application of the internal feature space of the model.
Marian, Dryzhakov, Dmitriy, Slutskiy, Timur, Gimadiev, Vladimir, Kondratyev   +3 more
core   +1 more source

Multiresolution convolutional autoencoders

Journal of Computational Physics, 2023
20 pages, 11 ...
Yuying Liu 0010, Colin Ponce, Steven L. Brunton, J. Nathan Kutz   +3 more
openaire   +2 more sources

A Method for Image Anomaly Detection Based on Distillation and Reconstruction

Sensors, 2023
Image anomaly detection is a trending research topic in computer vision. The objective is to build models using available normal samples to detect various abnormal images without depending on real abnormal samples.
Jiaxiang Luo, Jianzhao Zhang
doaj   +1 more source

altosaar/variational-autoencoder: Canonical release

, 2021
Release to address requests for ...
Ilya V. Schurov, Jaan Altosaar, Mohamad H. Danesh, Nishant Shukla, Chris Hodapp   +4 more
core   +1 more source

Quantum Circuit AutoEncoder [PDF]

, 2023
Quantum autoencoder is a quantum neural network model for compressing information stored in quantum states. However, one needs to process information stored in quantum circuits for many tasks in the emerging quantum information technology.
Wu, Jun, Zhang, Haiyue, Fu, Hao, Xie, Wei, Zhu, Mingzheng, Li, Xiang-Yang   +5 more
core   +1 more source