OGLE-BLG504.12.201843: A possible extreme dwarf nova

Kavli Affiliate: Subo Dong | First 5 Authors: Camille Landri, Ondřej Pejcha, Michał Pawlak, Andrzej Udalski, Jose L. Prieto | Summary: We present the analysis of existing optical photometry and new optical spectroscopy of the candidate cataclysmic variable star OGLE-BLG504.12.201843. As was shown previously, this object has an orbital period of 0.523419 days and exhibits […]


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Omnigrok: Grokking Beyond Algorithmic Data

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric J. Michaud, Max Tegmark, , | Summary: Grokking, the unusual phenomenon for algorithmic datasets where generalization happens long after overfitting the training data, has remained elusive. We aim to understand grokking by analyzing the loss landscapes of neural networks, identifying the mismatch between training […]


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Gas Morphology of Milky Way-like Galaxies in the TNG50 Simulation: Signals of Twisting and Stretching

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Thomas K. Waters, Colton Peterson, Razieh Emami, Xuejian Shen, Lars Hernquist | Summary: We present an in-depth analysis of gas morphologies for a sample of 25 Milky Way-like galaxies from the IllustrisTNG TNG50 simulation. We constrain the morphology of cold, warm, hot gas, and gas particles as […]


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Transient, developmental exposure to patient-derived anti-NMDA receptor autoantibodies causes long-term axonal and behavioral defects

Kavli Affiliate: Samuel Pleasure | Authors: Jing Zhou, Ariele Greenfield, Rita Loudermilk, Christopher Bartley, Baouyen Tran, Chao Zhao, Hong Wang, Michael Wilson and Samuel Pleasure | Summary: Abstract NMDA receptor autoimmune encephalitis (NMDAR-AE) is characterized by cerebrospinal fluid (CSF)-resident anti-NMDA receptor autoantibodies that cause behavioral and neurologic deficits. Although many symptoms are responsive to immunotherapy, […]


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Uncertainty estimations methods for a deep learning model to aid in clinical decision-making — a clinician’s perspective

Kavli Affiliate: Jing Wang | First 5 Authors: Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen | Summary: Prediction uncertainty estimation has clinical significance as it can potentially quantify prediction reliability. Clinicians may trust ‘blackbox’ models more if robust reliability information is available, which may lead to more models being adopted into clinical […]


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