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03/24/2023
Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter
Physics-informed neural networks have emerged as a coherent framework fo...
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01/19/2021
Learning Abstract Task Representations
A proper form of data characterization can guide the process of learning...
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10/12/2020
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
The recent increase in volume and complexity of available astronomical d...
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05/18/2020
Ridges in the Dark Energy Survey for cosmic trough identification
Cosmic voids and their corresponding redshift-aggregated projections of ...
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11/05/2019
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
The field of astronomy has arrived at a turning point in terms of size a...
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12/23/2018
Stress testing the dark energy equation of state imprint on supernova data
This work determines the degree to which a standard Lambda-CDM analysis ...
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12/20/2018
Transfer Learning in Astronomy: A New Machine-Learning Paradigm
The widespread dissemination of machine learning tools in science, parti...
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12/20/2018
A General Approach to Domain Adaptation with Applications in Astronomy
The ability to build a model on a source task and subsequently adapt suc...
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08/16/2018