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Shahin Boluki
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2020 – today
- 2024
- [j6]Shahin Boluki
, Siamak Zamani Dadaneh
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification. IEEE Trans. Artif. Intell. 5(3): 1162-1173 (2024) - 2022
- [c8]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. AISTATS 2022: 1359-1379 - [i8]Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. CoRR abs/2204.00130 (2022) - [i7]Ravi Kumar, Shahin Boluki, Karl Isler, Jonas Rauch, Darius Walczak:
Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing. CoRR abs/2205.01875 (2022) - 2021
- [j5]Shahin Boluki
Optimal Bayesian supervised domain adaptation for RNA sequencing data. Bioinform. 37(19): 3212-3219 (2021) - 2020
- [c7]Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou
Learnable Bernoulli Dropout for Bayesian Deep Learning. AISTATS 2020: 3905-3916 - [c6]Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
Arsm Gradient Estimator for Supervised Learning to Rank. ICASSP 2020: 3157-3161 - [c5]Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian:
NADS: Neural Architecture Distribution Search for Uncertainty Awareness. ICML 2020: 356-366 - [c4]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML 2020: 4094-4104 - [c3]Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. UAI 2020: 540-549 - [i6]Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian:
Learnable Bernoulli Dropout for Bayesian Deep Learning. CoRR abs/2002.05155 (2020) - [i5]Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian:
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. CoRR abs/2005.10477 (2020) - [i4]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield
Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR abs/2006.04064 (2020) - [i3]Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian:
NADS: Neural Architecture Distribution Search for Uncertainty Awareness. CoRR abs/2006.06646 (2020)
2010 – 2019
- 2019
- [j4]Shahin Boluki
Experimental Design via Generalized Mean Objective Cost of Uncertainty. IEEE Access 7: 2223-2230 (2019) - [j3]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal clustering with missing values. BMC Bioinform. 20-S(12): 321:1-321:10 (2019) - [j2]Shahin Boluki
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 524-537 (2019) - [i2]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. CoRR abs/1902.09694 (2019) - [i1]Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
ARSM Gradient Estimator for Supervised Learning to Rank. CoRR abs/1911.00465 (2019) - 2018
- [c2]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. BCB 2018: 593-594 - 2017
- [j1]Shahin Boluki, Mohammad Shahrokh Esfahani
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinform. 18(14): 61-80 (2017) - 2014
- [c1]Mohammadhossein Malmir
Offensive Positioning Based on Maximum Weighted Bipartite Matching and Voronoi Diagram. RoboCup 2014: 562-570
Coauthor Index
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last updated on 2024-05-08 20:59 CEST by the dblp team
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