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08/08/2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
The ability to learn continuously from an incoming data stream without c...
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02/26/2023
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
In this work we have extended AutoML inspired approaches to the explorat...
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01/18/2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Despite the advancement of machine learning techniques in recent years, ...
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11/30/2022
General policy mapping: online continual reinforcement learning inspired on the insect brain
We have developed a model for online continual or lifelong reinforcement...
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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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10/08/2022
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness
Robust machine learning models with accurately calibrated uncertainties ...
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10/03/2022
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization
Distributed data storage services tailored to specific applications have...
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06/01/2022
Sequential Bayesian Neural Subnetwork Ensembles
Deep neural network ensembles that appeal to model diversity have been u...
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04/18/2022
A Taxonomy of Error Sources in HPC I/O Machine Learning Models
I/O efficiency is crucial to productivity in scientific computing, but t...
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03/04/2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
The information bottleneck framework provides a systematic approach to l...
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02/23/2022
Single Gaussian Process Method for Arbitrary Tokamak Regimes with a Statistical Analysis
Gaussian Process Regression (GPR) is a Bayesian method for inferring pro...
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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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07/16/2020
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning
We focus on the problem of how to achieve online continual learning unde...
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11/10/2019
Value-Added Chemical Discovery Using Reinforcement Learning
Computer-assisted synthesis planning aims to help chemists find better r...
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11/10/2019
Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images
Strong gravitational lensing of astrophysical sources by foreground gala...
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09/18/2019
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models
Rapid simulations of advection-dominated problems are vital for multiple...
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06/04/2019