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12/14/2022
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Quantifying motion in 3D is important for studying the behavior of human...
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08/18/2022
Network inference via process motifs for lagged correlation in linear stochastic processes
A major challenge for causal inference from time-series data is the trad...
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06/16/2022
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings
Neuroscientists and neuroengineers have long relied on multielectrode ne...
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11/22/2021
Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control
Sparse model identification enables the discovery of nonlinear dynamical...
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06/23/2020
Inferring Causal Networks of Dynamical Systems through Transient Dynamics and Perturbation
Inferring causal relations from time series measurements is an ill-posed...
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01/23/2020