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Found 4 papers, 1 papers with code
SELFIES and the future of molecular string representations
We hope that these proposals will inspire several follow-up works exploiting the full potential of molecular string representations for the future of AI in chemistry and materials science.
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting
FLIT(+) can align the local training across heterogeneous clients by improving the performance for uncertain samples.
The International Linear Collider: A Global Project
In this report, we review of all aspects of the ILC program: the physics motivation, the accelerator design, the run plan, the proposed detectors, the experimental measurements on the Higgs boson, the top quark, the couplings of the W and Z bosons, and searches for new particles.
High Energy Physics - Experiment High Energy Physics - Phenomenology Accelerator Physics
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage
The results from most machine learning experiments are used for a specific purpose and then discarded.
