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06/24/2023
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models
Probabilistic forecasting is crucial to decision-making under uncertaint...
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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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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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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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05/19/2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Embedding based models have been the state of the art in collaborative f...
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02/11/2020
Superbloom: Bloom filter meets Transformer
We extend the idea of word pieces in natural language models to machine ...
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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
Scalable Realistic Recommendation Datasets through Fractal Expansions
Recommender System research suffers currently from a disconnect between ...
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07/18/2018
