Shahin Boluki
Shahin Boluki
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Cited by
Cited by
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
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 Arrˇyave, ...
Materials & Design 160, 810-827, 2018
Autonomous efficient experiment design for materials discovery with Bayesian model averaging
A Talapatra, S Boluki, T Duong, X Qian, E Dougherty, R Arrˇyave
Physical Review Materials 2 (11), 113803, 2018
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors
S Boluki, MS Esfahani, X Qian, ER Dougherty
BMC bioinformatics 18 (14), 61-80, 2017
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
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 (2á…, 2017
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
Optimal clustering with missing values
S Boluki, S Zamani Dadaneh, X Qian, ER Dougherty
BMC bioinformatics 20, 1-10, 2019
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
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
Experimental design via generalized mean objective cost of uncertainty
S Boluki, X Qian, ER Dougherty
IEEE Access 7, 2223-2230, 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
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 andá…, 2020
AUT Team Description Paper 2012
M Malmir, M Simchi, S Boluki, H Hediehloo
RoboCup, 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
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
AUT-MasterMinds Team Description Paper 2013
M Malmir, S Boluki, M Simchi
RoboCup, 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, 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
Optimal Bayesian supervised domain adaptation for RNA sequencing data
S Boluki, X Qian, ER Dougherty
Bioinformatics 37 (19), 3212-3219, 2021
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