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Found 7 papers, 2 papers with code
Cross-Encoder Rediscovers a Semantic Variant of BM25
Neural Ranking Models (NRMs) have rapidly advanced state-of-the-art performance on information retrieval tasks.
A mathematical framework of intelligence and consciousness based on Riemannian Geometry
Intelligence elements are conceptualised as tokens embedded in a high-dimensional space.
AI for Biomedicine in the Era of Large Language Models
The capabilities of AI for biomedicine span a wide spectrum, from the atomic level, where it solves partial differential equations for quantum systems, to the molecular level, predicting chemical or protein structures, and further extending to societal predictions like infectious disease outbreaks.
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications
To this end, we present a comprehensive study on the integration of machine learning (ML) techniques into Huawei Cloud's OptVerse AI Solver, which aims to mitigate the scarcity of real-world mathematical programming instances, and to surpass the capabilities of traditional optimization techniques.
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning
Specifically, we formulate the routine design task as a Markov decision process and propose an RL framework with adaptive action sequences to generate high-quality presolve routines efficiently.
Spatio-temporal Vision Transformer for Super-resolution Microscopy
Structured illumination microscopy (SIM) is an optical super-resolution technique that enables live-cell imaging beyond the diffraction limit.
Polarization Fraction Measurement in same sign WW scattering using Deep Learning
Studying the longitudinally polarized fraction of $W^\pm W^\pm$ scattering at the LHC is crucial to examine the unitarization mechanism of the vector boson scattering amplitude through Higgs and possible new physics.
High Energy Physics - Phenomenology High Energy Physics - Experiment
