A tractable ensemble distributionally robust Bayesian optimization method achieves improved sublinear regret bounds under context uncertainty.
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Application of a convolutional neural network for image classification for the analysis of collisions in high energy physics
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Fine-tuned LLaMA 3.2 VLM outperforms CNN baselines on neutrino event classification while adding interpretability via language reasoning.
A review of initiatives to make LHC Monte Carlo event generations available as open data to minimize redundant simulations and resource use.
This review summarizes the historical motivation, detector design, experimental techniques, and major physics results of the LHCb experiment at the LHC.
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Ensemble Distributionally Robust Bayesian Optimisation
A tractable ensemble distributionally robust Bayesian optimization method achieves improved sublinear regret bounds under context uncertainty.
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Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics
Fine-tuned LLaMA 3.2 VLM outperforms CNN baselines on neutrino event classification while adding interpretability via language reasoning.
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Open LHC Monte Carlo Event Generation
A review of initiatives to make LHC Monte Carlo event generations available as open data to minimize redundant simulations and resource use.
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The LHCb Experiment
This review summarizes the historical motivation, detector design, experimental techniques, and major physics results of the LHCb experiment at the LHC.