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08/19/2022
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation
The Solar Dynamics Observatory (SDO), a NASA multi-spectral decade-long ...
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02/09/2021
Domain Invariant Representation Learning with Domain Density Transformations
Domain generalization refers to the problem where we aim to train a mode...
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11/10/2019
Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning
As a part of NASA's Heliophysics System Observatory (HSO) fleet of satel...
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11/10/2019
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona
Understanding and monitoring the complex and dynamic processes of the Su...
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11/08/2018
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Over the past decade, the study of exoplanets has shifted from their det...
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07/20/2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
We present a novel framework that enables efficient probabilistic infere...
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12/21/2017
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators
We consider the problem of Bayesian inference in the family of probabili...
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03/14/2017
Online Learning Rate Adaptation with Hypergradient Descent
We introduce a general method for improving the convergence rate of grad...
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03/02/2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning
We draw a formal connection between using synthetic training data to opt...
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11/10/2016
Tricks from Deep Learning
The deep learning community has devised a diverse set of methods to make...
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11/10/2016
DiffSharp: An AD Library for .NET Languages
DiffSharp is an algorithmic differentiation or automatic differentiation...
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10/31/2016
Inference Compilation and Universal Probabilistic Programming
We introduce a method for using deep neural networks to amortize the cos...
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11/24/2015
DiffSharp: Automatic Differentiation Library
In this paper we introduce DiffSharp, an automatic differentiation (AD) ...
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04/30/2014
A semantic network-based evolutionary algorithm for computational creativity
We introduce a novel evolutionary algorithm (EA) with a semantic network...
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04/28/2014
Automatic Differentiation of Algorithms for Machine Learning
Automatic differentiation---the mechanical transformation of numeric com...
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04/11/2012
Automated Generation of Cross-Domain Analogies via Evolutionary Computation
Analogy plays an important role in creativity, and is extensively used i...
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01/12/2012
Evolution of Ideas: A Novel Memetic Algorithm Based on Semantic Networks
This paper presents a new type of evolutionary algorithm (EA) based on t...
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07/30/2011
