18 citations · 33 across the 10 of their papers we have counts for
10 papers
Single-pulse reanalysis of the 2024 Vela glitch and new observations of PSR~J04374715 and PSR~J16444559
Carlos O. Lousto, Ruby Shrestha, Ezequiel Zubieta +6
The Pulsar Monitoring in Argentina (PuMA) collaboration systematically monitors southern glitching pulsars, maintaining high-cadence single-pulse records of the Vela pulsar. We pre…
CoMetaPNS: Continually Meta-learning Personalized Neural Surrogates for Cardiac Electrophysiology Simulations
Ryan Missel, Xiajun Jiang, Linwei Wang
Personalized virtual heart simulations face challenges in model personalization and computational cost. While neural surrogates offer state-of-the-art solutions, they typically add…
Study of the 2024 major Vela glitch at the Argentine Institute of Radioastronomy
Ezequiel Zubieta, Ryan Missel, Susana B. Araujo Furlan +6
We report here on new results of the systematic monitoring of southern glitching pulsars at the Argentine Institute of Radioastronomy. In particular, we study in this work the new…
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology
Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye +3
Personalized virtual heart models have demonstrated increasing potential for clinical use, although the estimation of their parameters given patient-specific data remain a challeng…
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang +3
Modern applications increasingly require unsupervised learning of latent dynamics from high-dimensional time-series. This presents a significant challenge of identifiability: many…
Pulsar Observations at low latitudes and low frequencies
Carlos O. Lousto, R. Missel, E. Zubieta +6
The Pulsar Monitoring in Argentina (PuMA) is a collaboration between the Argentine Institute for Radioastronomy (IAR) and the Rochester Institute of Technology (RIT) that since 201…
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning
Xiajun Jiang, Zhiyuan Li, Ryan Missel +6
Clinical adoption of personalized virtual heart simulations faces challenges in model personalization and expensive computation. While an ideal solution is an efficient neural surr…
First results of the glitching pulsars monitoring program at the Argentine Institute of Radioastronomy
Ezequiel Zubieta, Ryan Missel, Valentina Sosa Fiscella +10
We report here on the first results of a systematic monitoring of southern glitching pulsars at the Argentine Institute of Radioastronomy that started in the year 2019. We detected…
Neural State-Space Modeling with Latent Causal-Effect Disentanglement
Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang +2
Despite substantial progress in deep learning approaches to time-series reconstruction, no existing methods are designed to uncover local activities with minute signal strength due…
Vela Pulsar: Single Pulses Analysis with Machine Learning Techniques
Carlos O. Lousto, Ryan Missel, Harsh Prajapati +12
We study individual pulses of Vela (PSR\ B0833-45\,/\,J0835-4510) from daily observations of over three hours (around 120,000 pulses per observation), performed simultaneously with…