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Essays in Empirical Asset Pricing

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Essays in Empirical Asset Pricing

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Essays in Monetary Policy and Asset Pricing

Image Denoising with Control over Deep Network Hallucination

Learning to Align Sequential Actions in the Wild

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Towards Understanding Sharpness-Aware Minimization

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Inference and Computation for Sparsely Sampled Random Surfaces

Image Denoising with Control over Deep Network Hallucination

Essays in Monetary Policy and Asset Pricing

Kernel Memory Networks: A Unifying Framework for Memory Modeling

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Inference and Computation for Sparsely Sampled Random Surfaces

Learning to Align Sequential Actions in the Wild

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Towards Understanding Sharpness-Aware Minimization