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06/14/2023
WavPool: A New Block for Deep Neural Networks
Modern deep neural networks comprise many operational layers, such as de...
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11/17/2022
Neural Inference of Gaussian Processes for Time Series Data of Quasars
The study of quasar light curves poses two problems: inference of the po...
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11/01/2022
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
In the era of big astronomical surveys, our ability to leverage artifici...
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10/31/2022
A robust estimator of mutual information for deep learning interpretability
We develop the use of mutual information (MI), a well-established metric...
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08/05/2022
Interpretable Uncertainty Quantification in AI for HEP
Estimating uncertainty is at the core of performing scientific measureme...
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03/16/2022
Discovering the building blocks of dark matter halo density profiles with neural networks
The density profiles of dark matter halos are typically modeled using em...
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03/16/2022
Learning Representation for Bayesian Optimization with Collision-free Regularization
Bayesian optimization has been challenged by datasets with large-scale, ...
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03/15/2022
Machine Learning and Cosmology
Methods based on machine learning have recently made substantial inroads...
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12/28/2021
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
Data processing and analysis pipelines in cosmological survey experiment...
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06/17/2021
Unsupervised Resource Allocation with Graph Neural Networks
We present an approach for maximizing a global utility function by learn...
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02/25/2021
DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning
Galaxy clusters identified from the Sunyaev Zel'dovich (SZ) effect are a...
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11/20/2020
Deep learning insights into cosmological structure formation
While the evolution of linear initial conditions present in the early un...
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04/22/2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms
We present a comparison of methods for uncertainty quantification (UQ) i...
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11/14/2019
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
We present the application of Restricted Boltzmann Machines (RBMs) to th...
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11/05/2019