Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
Paper • 2606.23993 • Published • 5
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Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
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Toward Non-Invasive Diagnosis of Bankart Lesions with Deep Learning
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SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
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Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs
Paper • 2508.01521 • Published
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A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
Paper • 1807.06173 • Published
Neuroevolutionary Feature Representations for Causal Inference
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Deep Low-Density Separation for Semi-Supervised Classification
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Safe AI for health and beyond -- Monitoring to transform a health service
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Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions
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Fixed point conditions for non-coprime actions
Paper • 2308.12286 • Published