Enhancement of photoacoustic imaging systems for biomedical applications by Sharma, Arunima

“…Mathematical calculations and PA experiments were conducted to show that a 2-4 folds and a 7-12 folds improvement in scan time can be achieved for lasers with low (10 Hz) and high (7 kHz) pulse repetition rate, respectively, while maintaining similar signal to noise ratio, spatial accuracy, and spatial resolution in the images. …”
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Efficient rare event sampling with unsupervised normalizing flows by Asghar, Solomon, Pei, Qing-Xiang, Volpe, Giorgio, Ni, Ran

“…Classical computational methods to sample rare events remain prohibitively inefficient and are bottlenecks for enhanced samplers that require prior data. Here we introduce a physics-informed machine learning framework, normalizing Flow enhanced Rare Event Sampler (FlowRES), which uses unsupervised normalizing flow neural networks to enhance Monte Carlo sampling of rare events by generating high-quality non-local Monte Carlo proposals. …”
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Deep learning and computer chess (part 2) by Lee, Zachary Varella Zheyu

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GTG-shapley: efficient and accurate participant contribution evaluation in federated learning by Liu, Zelei, Chen, Yuanyuan, Yu, Han, Liu, Yang, Cui, Lizhen

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