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05/24/2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
We introduce a two-stage probabilistic framework for statistical downsca...
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03/29/2023
Development of a deep learning-based tool to assist wound classification
This paper presents a deep learning-based wound classification tool that...
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01/11/2023
Accelerating large-eddy simulations of clouds with Tensor Processing Units
Clouds, especially low clouds, are crucial for regulating Earth's energy...
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04/21/2022
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example
Recent advancements in hardware accelerators such as Tensor Processing U...
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02/16/2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
Reinforcement learning constantly deals with hard integrals, for example...
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12/04/2021
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data
Predicting wildfire spread is critical for land management and disaster ...
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10/28/2021
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks
Many types of physics-informed neural network models have been proposed ...
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09/23/2021
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models
Metropolitan scale vehicular traffic modeling is used by a variety of pr...
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08/25/2021
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units
A computational fluid dynamics (CFD) simulation framework for predicting...
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10/15/2020
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Identifying regions that have high likelihood for wildfires is a key com...
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06/24/2020
Accelerating MRI Reconstruction on TPUs
The advanced magnetic resonance (MR) image reconstructions such as the c...
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02/14/2020
Simulation Pipeline for Traffic Evacuation in Urban Areas and Emergency Traffic Management Policy Improvements
Traffic evacuation plays a critical role in saving lives in devastating ...
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02/09/2020
Large-Scale Discrete Fourier Transform on TPUs
In this work, we present two parallel algorithms for the large-scale dis...
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02/06/2020
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow
In a recent paper, we have demonstrated how the affinity between TPUs an...
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12/13/2019
High-resolution imaging on TPUs
The rapid evolution of artificial intelligence (AI) is leading to a new ...
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06/06/2019
Tensor Processing Units for Financial Monte Carlo
Monte Carlo methods are core to many routines in quantitative finance su...
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04/08/2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions
Recommender system research suffers from a disconnect between the size o...
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03/27/2019
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
Large scale deep neural networks profited from an emerging class of AI a...
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01/23/2019