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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Dec 201819922001200920172026
7 results for sperm motility

Machine learning predicts sperm motility from videos and participant data.

problem Manual evaluation of semen samples is time-consuming and unreliable.
method Used machine learning techniques including simple linear regression and convolutional neural networks.
result Sperm motility prediction using deep learning is rapid and consistent.

A method for inferring motility models and heterogeneity from particle trajectories.

problem Understanding motility patterns from discrete trajectory data of biological agents.
method Maximum likelihood approach for second-order Langevin models with population heterogeneity.
result The proposed method outperforms alternative approaches for short trajectories.

Machine learning predicts phase behavior in active matter suspensions.

problem Predicting phase behavior in active matter systems using machine learning.
method Used deep learning techniques, including fully connected networks and graph neural networks, to predict motility-induced phase separation (MIPS) in ABP suspensions.
result Strong agreement between machine learning predictions and MIPS binodal from simulations, suggesting machine learning as an effective method for phase behavior determination.

Method combines latent space exploration and causal inference to interpret unknown data.

problem Interpreting unknown communication system of sperm whales.
method Causal disentanglement with extreme values (CDEV) combining latent variable manipulation and causal inference.
result Sperm whales encode information using click number, timing regularity, and audio properties.