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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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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A framework for analytical power flow solution using Gaussian process learning by Pareek, Parikshit, Nguyen, Hung D.

“…Through test simulations for 33-bus and 56-bus systems, the proposed method achieves low mean absolute error (MAE) of order E-05 (pu) in voltage magnitude and E-04 (rad) in angle. …”
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Bayesian neural network language modeling for speech recognition by Xue, Boyang, Hu, Shoukang, Xu, Junhao, Geng, Mengzhe, Liu, Xunying, Meng, Helen

“…In particular, on the LRS2 data, statistically significant WER reductions up to 1.3% and 1.2% absolute (12.1% and 11.3% relative) were obtained over the baseline LSTM-RNN and Transformer LMs respectively after model combination between Bayesian NNLMs and their respective baselines.…”
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Generative models for simulation of KamLAND-Zen by Fu, Zhenghao, Grant, Christopher, Krawiec, Dominika M., Li, Aobo, Winslow, Lindley A.

“…To claim discovery, accurate and efficient simulations of detector events that mimic 0𝜈𝛽𝛽 is critical. Traditional Monte Carlo (MC) simulations can be supplemented by machine-learning-based generative models. …”
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Probabilistic Programming with Programmable Variational Inference by Becker, McCoy R., Lew, Alexander K., Wang, Xiaoyan, Ghavami, Matin, Huot, Mathieu, Rinard, Martin C., Mansinghka, Vikash K.

“…In this paper, we propose a modular approach to supporting VI in PPLs, based on compositional program transformation. …”
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Conflict-free urban air mobility planning with an airspace-resource-centric approach by Dai, Wei

“…Lastly, in the final stage, we present a multi-objective 4D trajectory optimization model using the ARC concept. …”
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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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