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02/15/2023
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
We investigate Siamese networks for learning related embeddings for augm...
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10/09/2022
Strong Gravitational Lensing Parameter Estimation with Vision Transformer
Quantifying the parameters and corresponding uncertainties of hundreds o...
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10/14/2021
VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks
The Event Horizon Telescope (EHT) recently released the first horizon-sc...
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08/17/2021
AGNet: Weighing Black Holes with Deep Learning
Supermassive black holes (SMBHs) are ubiquitously found at the centers o...
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06/02/2021
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes
Among the most extreme objects in the Universe, active galactic nuclei (...
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03/22/2021
A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients
There is a shortage of multi-wavelength and spectroscopic followup capab...
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11/30/2020
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
We investigate the use of approximate Bayesian neural networks (BNNs) in...
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11/30/2020
AGNet: Weighing Black Holes with Machine Learning
Supermassive black holes (SMBHs) are ubiquitously found at the centers o...
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11/24/2020
Learning Principle of Least Action with Reinforcement Learning
Nature provides a way to understand physics with reinforcement learning ...
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10/21/2020
