3 citations · 7 across the 6 of their papers we have counts for
6 papers
Test-time Generalization for Physics through Neural Operator Splitting
Louis Serrano, Jiequn Han, Edouard Oyallon +2
Neural operators have shown promise in learning solution maps of partial differential equations (PDEs), but they often struggle to generalize when test inputs lie outside the train…
Measuring the Vertical Structure of Active Galactic Nuclei Disks with Transformer Models and the Vera C. Rubin Observatory
Amy Secunda, Sebastian Wagner-Carena, Helen Qu +1
Reverberation mapping is one of the main techniques used to study active galactic nuclei (AGN) accretion disks. Traditional continuum reverberation mapping uses short lags between…
Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation model
Euclid Collaboration, M. Siudek, M. Huertas-Company +321
Modern astronomical surveys, such as the Euclid mission, produce high-dimensional, multi-modal data sets that include imaging and spectroscopic information for millions of galaxies…
Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence
Drew Jamieson, Yin Li, Francisco Villaescusa-Navarro +2
We present a field-level emulator for large-scale structure, capturing the cosmology dependence and the time evolution of cosmic structure formation. The emulator maps linear displ…
Predicting the Initial Conditions of the Universe using a Deterministic Neural Network
Vaibhav Jindal, Albert Liang, Aarti Singh +2
Finding the initial conditions that led to the current state of the universe is challenging because it involves searching over an intractable input space of initial conditions, alo…
A Convolutional Autoencoder-Based Pipeline for Anomaly Detection and Classification of Periodic Variables
H. S. Chan, S. H. Cheung, V. Ashley Villar +1
The periodic pulsations of stars teach us about their underlying physical process. We present a convolutional autoencoder-based pipeline as an automatic approach to search for out-…