Showing 1–20 of 30 results
/ Date/ Name
Dec 4, 2023Challenges and Opportunities in Quantum OptimizationMar 27, 2023Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution DetectionApr 30, 2023Efficient MILP Decomposition in Quantum Computing for ReLU Network RobustnessJul 25, 2024Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series AnalysisApr 25, 2024Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine LearningMar 18, 2025LipShiFT: A Certifiably Robust Shift-based Vision TransformerJan 15, 2024Predominant Aspects on Security for Quantum Machine Learning: Literature ReviewNov 29, 2023Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and DefensesAug 3, 2023Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networksMar 10, 2021A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential EquationsOct 18, 2023On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fieldsMar 22, 2022Mesh-Informed Neural Networks for Operator Learning in Finite Element SpacesFeb 23, 2021Learning High-Order Interactions via Targeted Pattern SearchSep 13, 2024Measurability and continuity of parametric low-rank approximation in Hilbert spaces: linear operators and random variablesJul 4, 2022Approximation bounds for convolutional neural networks in operator learningApr 29, 2024Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reductionNov 18, 2025Nonparametric estimation of conditional probability distributions using a generative approach based on conditional push-forward neural networksFeb 1, 2024A practical existence theorem for reduced order models based on convolutional autoencodersAug 2, 2024Certifiably Robust Encoding SchemesMay 2, 2022Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm