HAPS constructs shorter conformal prediction sets for censored time-to-event outcomes by using time-varying covariate histories and IPCW, achieving approximate coverage among survivors with up to 75% shorter intervals in simulations.
The pilot way to grid resources using
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A Bayesian mixed Hawkes process with Weibull baseline intensity and random effects is developed to model seizure clustering and heterogeneity in focal epilepsy from the Human Epilepsy Project data.
The TESS All-Sky Rotation Survey provides periods for 1,046,317 stars within 500 pc, with an estimated 93% being true rotation periods, and includes a method to correct half-period aliases.
The paper releases a simulation dataset of 0νββ signal and 214Bi background events for the NEXT detector as educational material for an AI summer school.
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History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
HAPS constructs shorter conformal prediction sets for censored time-to-event outcomes by using time-varying covariate histories and IPCW, achieving approximate coverage among survivors with up to 75% shorter intervals in simulations.
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A Mixed Self-Exciting Process to Model Epileptic Seizures
A Bayesian mixed Hawkes process with Weibull baseline intensity and random effects is developed to model seizure clustering and heterogeneity in focal epilepsy from the Human Epilepsy Project data.
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The TESS All-Sky Rotation Survey: Periods for 1,046,317 Stars Within 500 pc
The TESS All-Sky Rotation Survey provides periods for 1,046,317 stars within 500 pc, with an estimated 93% being true rotation periods, and includes a method to correct half-period aliases.
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NEXT Simulation Dataset for AI Summer School UC Irvine 2026
The paper releases a simulation dataset of 0νββ signal and 214Bi background events for the NEXT detector as educational material for an AI summer school.