Using machine learning to analyze life events and predict individual outcomes.
― 8 min read
Cutting edge science explained simply
Using machine learning to analyze life events and predict individual outcomes.
― 8 min read
A new method could enhance expert predictions by providing limited choices.
― 7 min read
A model improves predictions of treatment effects based on existing data.
― 6 min read
A look at neural operators, focusing on injectivity and bijectivity.
― 6 min read
Utilizing both private and public data enhances machine learning while ensuring privacy.
― 8 min read
This article discusses analyzing treatment actions for better patient outcomes.
― 7 min read
Examining Random Features Regression for better predictions and uncertainty tracking.
― 6 min read
A new approach to graph classification using spectral features improves accuracy and simplifies analysis.
― 7 min read
Introducing a new method for fair estimation of treatment effects in various fields.
― 7 min read
A new method improves confidence in simulation-based model estimates.
― 5 min read
A new method enhances learning accuracy with limited past data.
― 5 min read
A look at prompt-tuning and its impact on attention in language models.
― 6 min read
A new method enhances labeling accuracy for social science studies using LLMs.
― 5 min read
SiBBlInGS offers a method for breaking down complex time series data.
― 6 min read
Using machine learning to classify Kronecker coefficients as zero or non-zero.
― 5 min read
New cWGAN model enhances solutions for complex inverse problems.
― 6 min read
This article explores how different models learn features from data using the interaction tensor.
― 8 min read
Effective evaluation methods for generative models enhance understanding and performance.
― 6 min read
Efficient methods for analyzing complex dynamical systems using Koopman operators.
― 6 min read
New method enhances image translation speed and quality using asymmetric gradient guidance.
― 6 min read
Learn how to manage label shifts using innovative methods for better predictions.
― 7 min read
Exploring the benefits of Wasserstein distances in machine learning model generalisation.
― 6 min read
Examine the impacts of shifting data sources on official statistics and machine learning.
― 9 min read
Addressing common misconceptions in Explainable AI to improve its understanding and application.
― 6 min read
A new method enhances hyperparameter learning for better predictions in Gaussian processes.
― 6 min read
Exploring new methods to improve decision-making amidst uncertainty using neural networks.
― 6 min read
A new method improves Bayesian analysis through effective data transformations.
― 6 min read
A new method improves the design of drug-like molecules.
― 5 min read
This approach offers improved accuracy and robustness for estimating parameters in ordinary differential equations.
― 5 min read
New approaches in boosting algorithms improve accuracy and handle noise effectively.
― 5 min read
A look at the role of symmetry in crystals and its practical uses.
― 4 min read
Learn to differentiate true relationships from misleading variations in data.
― 5 min read
This paper discusses the importance of fairness in automated decision-making systems.
― 7 min read
Examining fairness in AI systems and their impact on decision-making.
― 6 min read
A new approach to fast sampling from complex distributions using neural networks.
― 6 min read
A new method for enhancing soft prompt tuning efficiency and performance.
― 6 min read
Examining online multiclass classification with set-valued feedback and its implications.
― 6 min read
Examining the impacts of federated learning on model generalization and data privacy.
― 6 min read
A new approach for vectorizing persistence diagrams enhances data analysis efficiency.
― 6 min read
This study details a technique for selecting observables in complex systems.
― 5 min read