VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
Fuente:
arXiv
Saved in:
| Main Authors: | Thomas, Aaron Mark, Youel, Harry, Jose, Sharu Theresa |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Generalization of Adversarially Trained Quantum Classifiers
by: Georgiou, Petros, et al.
Published: (2025)
by: Georgiou, Petros, et al.
Published: (2025)
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)
by: Baykal, Gulcin, et al.
Published: (2023)
Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
by: Sadhu, Abhishek, et al.
Published: (2026)
by: Sadhu, Abhishek, et al.
Published: (2026)
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
by: Lin, Kuan-Yu, et al.
Published: (2026)
by: Lin, Kuan-Yu, et al.
Published: (2026)
QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning
by: Thomas, Aaron Mark, et al.
Published: (2025)
by: Thomas, Aaron Mark, et al.
Published: (2025)
Quantum-enhanced satellite image classification
by: Zhang, Qi, et al.
Published: (2026)
by: Zhang, Qi, et al.
Published: (2026)
PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
by: Lu, Hao, et al.
Published: (2026)
by: Lu, Hao, et al.
Published: (2026)
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)
by: Sadat, Seyedmorteza, et al.
Published: (2024)
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024)
by: Georgiou, Petros, et al.
Published: (2024)
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
by: Werner, Yannick, et al.
Published: (2025)
by: Werner, Yannick, et al.
Published: (2025)
Quantum machine learning for image classification
by: Senokosov, Arsenii, et al.
Published: (2023)
by: Senokosov, Arsenii, et al.
Published: (2023)
Auto Quantum Machine Learning for Multisource Classification
by: Rybotycki, Tomasz, et al.
Published: (2026)
by: Rybotycki, Tomasz, et al.
Published: (2026)
Incremental Data-Uploading for Full-Quantum Classification
by: Periyasamy, Maniraman, et al.
Published: (2022)
by: Periyasamy, Maniraman, et al.
Published: (2022)
Image Classification with Rotation-Invariant Variational Quantum Circuits
by: Sebastian, Paul San, et al.
Published: (2024)
by: Sebastian, Paul San, et al.
Published: (2024)
Towards Personalized Quantum Federated Learning for Anomaly Detection
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
by: Krahn, Maximilian, et al.
Published: (2023)
by: Krahn, Maximilian, et al.
Published: (2023)
Layered Quantum Architecture Search for 3D Point Cloud Classification
by: Meli, Natacha Kuete, et al.
Published: (2026)
by: Meli, Natacha Kuete, et al.
Published: (2026)
Explainable Quantum Machine Learning for Multispectral Images Segmentation: Case Study
by: Rybotycki, Tomasz, et al.
Published: (2025)
by: Rybotycki, Tomasz, et al.
Published: (2025)
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
by: Wu, Sheng-Yao, et al.
Published: (2024)
by: Wu, Sheng-Yao, et al.
Published: (2024)
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)
by: Haselhoff, Anselm, et al.
Published: (2024)
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
by: Röseler, Peter, et al.
Published: (2025)
by: Röseler, Peter, et al.
Published: (2025)
HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification
by: Yao, Jianhong, et al.
Published: (2025)
by: Yao, Jianhong, et al.
Published: (2025)
Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
by: Jäger, Jonas, et al.
Published: (2026)
by: Jäger, Jonas, et al.
Published: (2026)
MediQ-GAN: Quantum-Inspired GAN for High Resolution Medical Image Generation
by: Jiao, Qingyue, et al.
Published: (2025)
by: Jiao, Qingyue, et al.
Published: (2025)
List-Mode PET Image Reconstruction Using Deep Image Prior
by: Ote, Kibo, et al.
Published: (2022)
by: Ote, Kibo, et al.
Published: (2022)
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
Quantum-Enhanced Neural Contextual Bandit Algorithms
by: Huang, Yuqi, et al.
Published: (2026)
by: Huang, Yuqi, et al.
Published: (2026)
Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse
by: Zhang, Zegu, et al.
Published: (2026)
by: Zhang, Zegu, et al.
Published: (2026)
Bridging GANs and Bayesian Neural Networks via Partial Stochasticity
by: Filippone, Maurizio, et al.
Published: (2025)
by: Filippone, Maurizio, et al.
Published: (2025)
Sample Complexity of Composite Quantum Hypothesis Testing
by: Simpson, Jacob Paul, et al.
Published: (2026)
by: Simpson, Jacob Paul, et al.
Published: (2026)
Tabular GANs for uneven distribution
by: Ashrapov, Insaf
Published: (2020)
by: Ashrapov, Insaf
Published: (2020)
Intriguing Properties of Modern GANs
by: Friedman, Roy, et al.
Published: (2024)
by: Friedman, Roy, et al.
Published: (2024)
Statistical Complexity of Quantum Learning
by: Banchi, Leonardo, et al.
Published: (2023)
by: Banchi, Leonardo, et al.
Published: (2023)
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
by: Louiset, Robin, et al.
Published: (2023)
by: Louiset, Robin, et al.
Published: (2023)
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
by: Wang, Peihao, et al.
Published: (2023)
by: Wang, Peihao, et al.
Published: (2023)
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
by: Wang, Peiyong, et al.
Published: (2024)
by: Wang, Peiyong, et al.
Published: (2024)
Hybrid Quantum Neural Networks for Enhanced Breast Cancer Thermographic Classification: A Novel Quantum-Classical Integration Approach
by: Syah, Riza Alaudin, et al.
Published: (2026)
by: Syah, Riza Alaudin, et al.
Published: (2026)
Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
by: Wang, Peiyong, et al.
Published: (2024)
by: Wang, Peiyong, et al.
Published: (2024)
Similar Items
-
On the Generalization of Adversarially Trained Quantum Classifiers
by: Georgiou, Petros, et al.
Published: (2025) -
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023) -
Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
by: Sadhu, Abhishek, et al.
Published: (2026) -
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
by: Lin, Kuan-Yu, et al.
Published: (2026) -
QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning
by: Thomas, Aaron Mark, et al.
Published: (2025)