
GPUaccelerated machine learning inference as a service for computing in neutrino experiments
Machine learning algorithms are becoming increasingly prevalent and perf...
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DistanceWeighted Graph Neural Networks on FPGAs for RealTime Particle Reconstruction in High Energy Physics
Graph neural networks have been shown to achieve excellent performance f...
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GPU coprocessors as a service for deep learning inference in high energy physics
In the next decade, the demands for computing in large scientific experi...
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Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML
We present the implementation of binary and ternary neural networks in t...
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Fast inference of Boosted Decision Trees in FPGAs for particle physics
We describe the implementation of Boosted Decision Trees in the hls4ml l...
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Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
The field of astronomy has arrived at a turning point in terms of size a...
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Improving Long Handwritten Text Line Recognition with Convolutional Multiway Associative Memory
Convolutional Recurrent Neural Networks (CRNNs) excel at scene text reco...
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Fast inference of deep neural networks in FPGAs for particle physics
Recent results at the Large Hadron Collider (LHC) have pointed to enhanc...
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Applications of potential theoretic mother bodies in Electrostatics
Any polyhedron accommodates a type of potential theoretic skeleton calle...
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Nhan Tran
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