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225 papers · 1 filter
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI
Kai Huang, Wei Gao
With the wide adoption of AI applications, there is a pressing need of enabling real-time neural network (NN) inference on small embedded devices, but deploying NNs and achieving h…
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
Kai Huang, Boyuan Yang, Wei Gao
On-device training is essential for neural networks (NNs) to continuously adapt to new online data, but can be time-consuming due to the device's limited computing power. To speed…
Measurement of Electron Neutrino and Antineutrino Cross Sections at Low Momentum Transfer
S. Henry, H. Su, S. Akhter +53
Accelerator based neutrino oscillation experiments seek to measure the relative number of electron and muon neutrinos and antineutrinos at different values. However high stat…
First search for dark-trident processes using the MicroBooNE detector
MicroBooNE collaboration, P. Abratenko, O. Alterkait +185
We present a first search for dark-trident scattering in a neutrino beam using a data set corresponding to protons on target taken with the MicroBooNE detector…
Blowing in the Dark Matter Wind
Hannah Day, Da Liu, Markus A. Luty +1
Interactions between dark matter and ordinary matter will transfer momentum, and therefore give rise to a force on ordinary matter due to the dark matter `wind.' We show that this…
Probing Higgs-muon interactions at a multi-TeV muon collider
Eugenia Celada, Tao Han, Wolfgang Kilian +7
We study the capabilities of a muon collider, at 3 and 10 TeV center-of-mass energy, of probing the interactions of the Higgs boson with the muon. We consider all the possible proc…