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Daniel Ratner

Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source

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Sep 05, 2023
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Capturing dynamical correlations using implicit neural representations

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Apr 08, 2023
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Coincident Learning for Unsupervised Anomaly Detection

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Jan 26, 2023
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Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector

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Nov 02, 2022
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Heterogeneous reconstruction of deformable atomic models in Cryo-EM

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Sep 29, 2022
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Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements

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Sep 10, 2022
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CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images

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Mar 16, 2022
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End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data

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Jul 07, 2021
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Introduction to Machine Learning for Accelerator Physics

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Jun 17, 2020
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