Maurice Weber | DeepAI

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∙ 11/30/2022

Predicting Properties of Quantum Systems with Conditional Generative Models

Machine learning has emerged recently as a powerful tool for predicting ...

0 Haoxiang Wang, et al. ∙

∙ 02/03/2022

Certifying Out-of-Domain Generalization for Blackbox Functions

Certifying the robustness of model performance under bounded data distri...

7 Maurice Weber, et al. ∙

∙ 09/21/2020

Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing

Quantum machine learning models have the potential to offer speedups and...

17 Maurice Weber, et al. ∙

∙ 03/19/2020

RAB: Provable Robustness Against Backdoor Attacks

Recent studies have shown that deep neural networks (DNNs) are vulnerabl...

4 Maurice Weber, et al. ∙

∙ 02/27/2020

Provable Robust Learning Based on Transformation-Specific Smoothing

As machine learning systems become pervasive, safeguarding their securit...

6 Linyi Li, et al. ∙

∙ 10/08/2019

Lossy Image Compression with Recurrent Neural Networks: from Human Perceived Visual Quality to Classification Accuracy

Deep neural networks have recently advanced the state-of-the-art in imag...

31 Maurice Weber, et al. ∙

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