Motion models for robust 3D human body tracking

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Motion models for robust 3D human body tracking

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Boosting likelihood learning with event reweighting

Experimental characterization and stochastic models for time-dependent rupture of thin-ply composite laminates

Spectral Estimators for High-Dimensional Matrix Inference

From finger animation to full-body embodiment of avatars with different morphologies and proportions

RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition

An Unbiased Method of Measuring the Ratio of Two Data Sets

Graph generative deep learning models with an application to circuit topologies

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Noise-induced transitions past the onset of a steady symmetry-breaking bifurcation: The case of the sudden expansion

Robust Outlier Rejection for 3D Registration with Variational Bayes

Topics in statistical physics of high-dimensional machine learning

Stochastic adaptive resampling for the estimation of discrete choice models

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Microgravity induces overconfidence in perceptual decision-making

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference