| Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise | Dec 16, 2024 | Generalization BoundsLearning Theory | —Unverified | 0 | 0 |
| Coreset selection can accelerate quantum machine learning models with provable generalization | Sep 19, 2023 | Quantum Machine Learning | —Unverified | 0 | 0 |
| Quantum continual learning of quantum data realizing knowledge backward transfer | Mar 26, 2022 | BIG-bench Machine LearningContinual Learning | —Unverified | 0 | 0 |
| Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images | Oct 3, 2023 | image-classificationImage Classification | —Unverified | 0 | 0 |
| A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud | Sep 30, 2023 | Cloud ComputingGenerative Adversarial Network | —Unverified | 0 | 0 |
| Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning | Apr 25, 2024 | Quantum Machine Learning | —Unverified | 0 | 0 |
| Computable Model-Independent Bounds for Adversarial Quantum Machine Learning | Nov 11, 2024 | Quantum Machine Learning | —Unverified | 0 | 0 |
| CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data | Sep 13, 2024 | DiagnosticQuantum Machine Learning | —Unverified | 0 | 0 |
| Component Based Quantum Machine Learning Explainability | Jun 14, 2025 | Quantum Machine Learning | —Unverified | 0 | 0 |
| Agnostic Process Tomography | Oct 15, 2024 | Learning TheoryQuantum Machine Learning | —Unverified | 0 | 0 |
