Efficient Distributed Decision Trees for Robust Regression

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Efficient Distributed Decision Trees for Robust Regression

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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Partial discharge localization in power transformer tanks using machine learning methods

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Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Data and scripts for the RaFSIP scheme

Reliable data-driven decision-making through optimal transport

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Random matrix methods for high-dimensional machine learning models

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Topics in statistical physics of high-dimensional machine learning

An area efficient inductorless super-regenerative receiver front-end for biomedical implant devices

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

On the Generalization of Stochastic Gradient Descent with Momentum

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Understanding generalization and robustness in modern deep learning

Data for Paper "Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning"

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Meta-learning to address diverse Earth observation problems across resolutions