Extensions of Peer Prediction Incentive Mechanisms

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Extensions of Peer Prediction Incentive Mechanisms

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Data-driven statistical optimization of a groundwater monitoring network

Robust machine learning for neuroscientific inference

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

Spectral Estimators for High-Dimensional Matrix Inference

Data and scripts for the RaFSIP scheme

Ultrahigh-quality-factor micro- and nanomechanical resonators using dissipation dilution

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

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Data set for control of Ge island coalescence for the formation of nanowires on silicon

A story of two transitions: From adhesive to abrasive wear and from ductile to brittle regime

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Stability: a search for structure

Orchestrating chromosome conformation capture analysis with Bioconductor

A state-of-the-art, systematic review of indoor environmental quality studies in work-from-home settings

Instabilities in Elastic and Magneto-Elastic Beams and Shells: from Shell Buckling to the Design of a Programmable Braille Reader

Higher-order moments of the elliptic flow distribution in PbPb collisions at √sNN=5.02 TeV

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

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Graph generative deep learning models with an application to circuit topologies

Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations