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Found 4 papers, 2 papers with code
FACT: Federated Adversarial Cross Training
We propose Federated Adversarial Cross Training (FACT), which uses the implicit domain differences between source clients to identify domain shifts in the target domain.
Federated Learning
Multi-Source Unsupervised Domain Adaptation
+2
BITES: Balanced Individual Treatment Effect for Survival data
Their inference is often challenged by the fact that the training data comprises only the outcome for the administered treatment, and not for alternative treatments (the so-called counterfactual outcomes).
Self-Renormalization of Quasi-Light-Front Correlators on the Lattice
In applying large-momentum effective theory, renormalization of the Euclidean correlators in lattice regularization is a challenge due to linear divergences in the self-energy of Wilson lines.
High Energy Physics - Lattice High Energy Physics - Phenomenology
Partial Deconfinement at Strong Coupling on the Lattice
We provide evidence for partial deconfinement -- the deconfinement of a SU($M$) subgroup of the SU($N$) gauge group -- by using lattice Monte Carlo simulations.
High Energy Physics - Theory High Energy Physics - Lattice High Energy Physics - Phenomenology
