GPU-Oriented Algorithms for Continuous Energy Monte Carlo Neutron Transport by Ridley, Gavin

“…We then identify a variety of algorithmic optimizations that improved the performance of the baseline CUDA application, and identify areas for further development. 3 Based on experience adapting a full-physics continuous energy MC code for GPU, we identify two pieces of the simulation which can be improved for GPU computing: resonance upscatter handling and unresolved resonance modeling. …”
Get full text

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

“…As an important building block of such incentive schemes, it is essential to fairly evaluate participants’ contribution to the performance of the final FL model without exposing their private data. Shapley Value (SV)–based techniques have been widely adopted to provide a fair evaluation of FL participant contributions. …”
Get full text

Gaussian Process Learning-based Probabilistic Optimal Power Flow by Pareek, Parikshit, Nguyen, Hung D.

“…In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary distribution. …”
Get full text

Reinforcement learning-based method 3D motion planning for a 3D inspection task using prior viewpoint information by Chee, Yeng Sung

“…However, a proposed visibility modelling and approximation that considers the presence of an obstacle is introduced to tackle the issue of obstructed view of the target object seen from a 3D camera. …”
Get full text

Deep learning and computer chess (part 2) by Lee, Zachary Varella Zheyu

Get full text

PLATON: top-down R-tree packing with learned partition policy by Yang, Jingyi, Cong, Gao

“…We develop a learned partition policy based on Monte Carlo Tree Search and carefully make design choices for the MCTS exploration strategy and simulation strategy to improve algorithm convergence. …”
Get full text
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

“…With this method, we have demonstrated superior generalizability of PGNN compared to its pure ANN counterpart. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text