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Ten Lectures on Wavelets

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Recent advances in convolutional neural networks

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Federated learning: Challenges, methods, and future directions

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Federated Optimization in Heterogeneous Networks

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Understanding deep learning requires rethinking generalization

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Understanding deep learning (still) requires rethinking generalization

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A Closer Look at Memorization in Deep Networks

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Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

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Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

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Kernel methods in system identification, machine learning and function estimation: A survey

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Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

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Trustworthy AI: From Principles to Practices

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Unveiling COVID-19 from CHEST X-ray with deep learning: A hurdles race with small data

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To understand deep learning we need to understand kernel learning

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Astraea: Self-Balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

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Missing data imputation through the use of the random forest algorithm

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Deep learning generalizes because the parameter-function map is biased towards simple functions

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GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

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Photometry of high-redshift blended galaxies using deep learning

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Deep generative modeling of sample-level heterogeneity in single-cell genomics

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A Battery-Free Long-Range Wireless Smart Camera for Face Detection

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Revisiting Challenges in Data-to-Text Generation with Fact Grounding

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aSGD: Stochastic Gradient Descent with Adaptive Batch Size for Every Parameter

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Learning higher-order sequential structure with cloned HMMs

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