Towards a pragmatist dealing with algorithmic bias in medical machine learning

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Towards a pragmatist dealing with algorithmic bias in medical machine learning

Chattez avec Graph Search

Metacognition meets AI: Empowering reflective writing with large language models

Source-Free Domain-Invariant Performance Prediction

Reweighting simulated events using machine-learning techniques in the CMS experiment

Technology Legalization and Optimization for Adiabatic Quantum-Flux Parametron

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

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

Robust machine learning for neuroscientific inference

Adversarial Training for Jamming-Robust Channel Estimation in OFDM Systems

Machine learning-aided generative molecular design

Meta-learning to address diverse Earth observation problems across resolutions

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

Designed Semiconductor Network Random Lasers

AdaNCA: Neural Cellular Automata as Adaptors for More Robust Vision Transformer

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

Machine Learning for Modeling Stock Returns

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Partial discharge localization in power transformer tanks using machine learning methods

Random matrix methods for high-dimensional machine learning models