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Large Scale Variational Bayesian Inference for Structured Scale Mixture Models

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Large Scale Variational Bayesian Inference for Structured Scale Mixture Models

OASIS: An integrated optimisation framework for activity scheduling

Boosting likelihood learning with event reweighting

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

A Shape Derivative Approach to Domain Simplification

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Robust Outlier Rejection for 3D Registration with Variational Bayes

Evaluating contrast sensitivity in early and intermediate age-related Macular Degeneration with the Quick Contrast Sensitivity Function

Graph Chatbot

OASIS: An integrated optimisation framework for activity scheduling

Boosting likelihood learning with event reweighting

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

A Shape Derivative Approach to Domain Simplification

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Robust Outlier Rejection for 3D Registration with Variational Bayes

Evaluating contrast sensitivity in early and intermediate age-related Macular Degeneration with the Quick Contrast Sensitivity Function

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage