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11/20/2022
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models
Soil and groundwater contamination is a pervasive problem at thousands o...
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08/17/2022
Physical Computing for Materials Acceleration Platforms
A ”technology lottery” describes a research idea or technology succeedin...
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05/20/2022
The Unreasonable Effectiveness of Deep Evidential Regression
There is a significant need for principled uncertainty reasoning in mach...
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12/06/2021
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for...
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04/13/2021
Multivariate Deep Evidential Regression
There is significant need for principled uncertainty reasoning in machin...
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04/10/2021
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization
As climate change increases the intensity of natural disasters, society ...
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11/09/2020
Learnings from Frontier Development Lab and SpaceML – AI Accelerators for NASA and ESA
Research with AI and ML technologies lives in a variety of settings with...
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10/16/2020
Physics-informed GANs for Coastal Flood Visualization
As climate change increases the intensity of natural disasters, society ...
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09/16/2020
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels
We present a probabilistic programmed deep kernel learning approach to p...
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06/21/2020
Technology Readiness Levels for Machine Learning Systems
The development and deployment of machine learning systems can be execut...
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06/19/2020
Manifolds for Unsupervised Visual Anomaly Detection
Anomalies are by definition rare, thus labeled examples are very limited...
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05/23/2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors
Prototypical networks have been shown to perform well at few-shot learni...
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12/11/2018
Doubly Bayesian Optimization
Bayesian optimization (BO) is a powerful method for optimizing complex b...
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08/03/2018
Cortical Microcircuits from a Generative Vision Model
Understanding the information processing roles of cortical circuits is a...
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03/24/2016
Clustering Time-Series Energy Data from Smart Meters
Investigations have been performed into using clustering methods in data...
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11/03/2015
A Pareto Optimal D* Search Algorithm for Multiobjective Path Planning
Path planning is one of the most vital elements of mobile robotics, prov...
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10/12/2015
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark
Much of the world's data is streaming, time-series data, where anomalies...
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05/22/2015
