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Found 3 papers, 1 papers with code
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Despite the increasing demand for safer machine learning practices, the use of Uncertainty Quantification (UQ) methods in production remains limited.
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
We consider a cross-silo federated learning (FL) setting where a machine learning model with a fully connected first layer is trained between different clients and a central server using FedAvg, and where the aggregation step can be performed with secure aggregation (SA).
Cross Section Doppler Broadening prediction using Physically Informed Deep Neural Networks
Temperature dependence of the neutron-nucleus interaction is known as the Doppler broadening of the cross-sections.
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