关注
Sirui Bi
Sirui Bi
Walmart Global Tech;Oak Ridge National Laboratory; Johns Hopkins University
在 jhu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Robust data-driven approach for predicting the configurational energy of high entropy alloys
J Zhang, X Liu, S Bi, J Yin, G Zhang, M Eisenbach
Materials & Design 185, 108247, 2020
632020
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach
X Liu, J Zhang, J Yin, S Bi, M Eisenbach, Y Wang
Computational Materials Science 187, 110135, 2021
502021
Additive manufacturing and characterization of brittle foams
S Bi, E Chen, S Gaitanaros
Mechanics of Materials 145, 103368, 2020
272020
A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics
J Zhang, S Bi, G Zhang
Materials & Design, 109213, 2021
262021
On the high-temperature crushing of metal foams
B Aakash, S Bi, M Shields, S Gaitanaros.
HEMI Mach conference, 2019
162019
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials
S Bi, J Zhang, G Zhang
NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation …, 2020
152020
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models
J Zhang, S Bi, G Zhang
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
102021
Atomic structure generation from reconstructing structural fingerprints
V Fung, S Jia, J Zhang, S Bi, J Yin, P Ganesh
Machine Learning: Science and Technology 3 (4), 045018, 2022
82022
Self-supervised anomaly detection via neural autoregressive flows with active learning
J Zhang, K Saleeby, T Feldhausen, S Bi, A Plotkowski, D Womble
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2021
52021
Blackbox optimization for approximating high-fidelity heat transfer calculations in metal additive manufacturing
S Bi, B Stump, J Zhang, Y Lee, J Coleman, M Bement, G Zhang
Results in Materials 13, 100258, 2022
42022
Chemical complexity in high entropy alloys: a pair-interaction perspective
X Liu, J Zhang, S Bi, Y Wang, GM Stocks, M Eisenbach
arXiv preprint arXiv:1907.10223, 2019
42019
Accelerating inverse learning via intelligent localization with exploratory sampling
S Bi, V Fung, J Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14711 …, 2023
32023
On the Quantification of Image Reconstruction Uncertainty without Training Data
J Zhang, S Bi, V Fung
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Towards efficient uncertainty estimation in deep learning for robust energy prediction in materials chemistry
S Bi, V Fung, J Zhang, G Zhang
ICLR 2021 Workshop on Deep Learning for Simulation, 2021
1*2021
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models
S Bi, J Zhang, G Zhang
arXiv preprint arXiv:2103.08594, 2021
12021
On the Processing, Microstructure and Strength of Brittle Foams
S Bi
The Johns Hopkins University, 2020
12020
On the Quantification of Image Reconstruction Uncertainty without Training Data
S Bi, V Fung, J Zhang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), 2023
2023
Probabilistic Flow-based Models for Semi-Supervised Anomaly Detection and Localization
AP Sirui Bi, Kyle Saleeby, Jiaxin Zhang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022 …, 2022
2022
A data-driven approach to study the order-disorder transition in high entropy alloys
X Liu, J Zhang, J Yin, S Bi, M Eisenbach, Y Wang
Bulletin of the American Physical Society, 2021
2021
A Stochastic Approximate Gradient Method for Bayesian Experimental Design
S Bi, J Zhang, G Zhang
NeurIPS Workshop on Machine Learning and the Physical Sciences, 2020
2020
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