| Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... International Conference on Machine Learning (ICML), 2020 | 146 | 2020 |
| Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling A Solomou, G Zhao, S Boluki, JK Joy, X Qian, I Karaman, R Arróyave, ... Materials & Design 160, 810-827, 2018 | 118 | 2018 |
| Autonomous efficient experiment design for materials discovery with Bayesian model averaging A Talapatra, S Boluki, T Duong, X Qian, E Dougherty, R Arróyave Physical Review Materials 2 (11), 113803, 2018 | 104 | 2018 |
| Learnable Bernoulli dropout for Bayesian deep learning S Boluki, R Ardywibowo, SZ Dadaneh, M Zhou, X Qian International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 46 | 2020 |
| Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors S Boluki, MS Esfahani, X Qian, ER Dougherty BMC bioinformatics 18, 61-80, 2017 | 45 | 2017 |
| Constructing pathway-based priors within a Gaussian mixture model for Bayesian regression and classification S Boluki, MS Esfahani, X Qian, ER Dougherty IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2017 | 37 | 2017 |
| Optimal clustering with missing values S Boluki, S Zamani Dadaneh, X Qian, ER Dougherty BMC bioinformatics 20, 1-10, 2019 | 28 | 2019 |
| Experiment design frameworks for accelerated discovery of targeted materials across scales A Talapatra, S Boluki, P Honarmandi, A Solomou, G Zhao, SF Ghoreishi, ... Frontiers in Materials 6, 82, 2019 | 27 | 2019 |
| NADS: Neural Architecture Distribution Search for Uncertainty Awareness R Ardywibowo, S Boluki, X Gong, Z Wang, X Qian International Conference on Machine Learning (ICML), 2020 | 24 | 2020 |
| Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator SZ Dadaneh, S Boluki, M Yin, M Zhou, X Qian The Conference on Uncertainty in Artificial Intelligence (UAI), 2020 | 24 | 2020 |
| Experimental design via generalized mean objective cost of uncertainty S Boluki, X Qian, ER Dougherty IEEE Access 7, 2223-2230, 2018 | 14 | 2018 |
| Towards an autonomous efficient materials discovery framework: An example of optimal experiment design under model uncertainty A Talapatra, S Boluki, T Duong, X Qian, E Dougherty, R Arroyave arXiv preprint arXiv:1803.05460, 2018 | 9 | 2018 |
| Arsm gradient estimator for supervised learning to rank SZ Dadaneh, S Boluki, M Zhou, X Qian ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| AUT Team Description Paper 2012 M Malmir, M Simchi, S Boluki, H Hediehloo RoboCup, 2012 | 6 | 2012 |
| Simcd: Simultaneous clustering and differential expression analysis for single-cell transcriptomic data S Niyakan, E Hajiramezanali, S Boluki, SZ Dadaneh, X Qian arXiv preprint arXiv:2104.01512, 2021 | 5 | 2021 |
| Offensive positioning based on maximum weighted bipartite matching and voronoi diagram M Malmir, S Boluki, S Shiry Ghidary RoboCup 2014: Robot World Cup XVIII 18, 562-570, 2015 | 4 | 2015 |
| Optimal Bayesian supervised domain adaptation for RNA sequencing data S Boluki, X Qian, ER Dougherty Bioinformatics 37 (19), 3212-3219, 2021 | 3 | 2021 |
| AUT-MasterMinds Team Description Paper 2013 M Malmir, S Boluki, M Simchi RoboCup, 2013 | 2 | 2013 |
| Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification S Boluki, SZ Dadaneh, ER Dougherty, X Qian IEEE Transactions on Artificial Intelligence 5 (3), 1162-1173, 2023 | 1 | 2023 |
| VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition R Ardywibowo, S Boluki, Z Wang, BJ Mortazavi, S Huang, X Qian International Conference on Artificial Intelligence and Statistics, 1359-1379, 2022 | 1 | 2022 |
