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Arman Hasanzadeh
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Variational Graph Recurrent Neural Networks
E Hajiramezanali, A Hasanzadeh, N Duffield, KR Narayanan, M Zhou, ...
Advances in Neural Information Processing Systems (NeurIPS2019), 2019
2192019
Semi-Implicit Graph Variational Auto-Encoders
A Hasanzadeh, E Hajiramezanali, N Duffield, KR Narayanan, M Zhou, ...
Advances in Neural Information Processing Systems (NeurIPS2019), 2019
1482019
Bayesian Graph Neural Networks with Adaptive Connection Sampling
A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ...
International Conference on Machine Learning (ICML2020), 2020
1392020
Network-principled deep generative models for designing drug combinations as graph sets
M Karimi, A Hasanzadeh, Y Shen
Bioinformatics 36 (Supplement_1), i445-i454, 2020
312020
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction
A Hasanzadeh, X Liu, N Duffield, KR Narayanan
2019 IEEE International Conference on Big Data (Big Data), 3779-3788, 2019
29*2019
Fault detection and isolation in industrial networks using graph convolutional neural networks
H Khorasgani, A Hasanzadeh, A Farahat, C Gupta
2019 IEEE International Conference on Prognostics and Health Management …, 2019
272019
Variational graph recurrent neural networks
A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ...
Advances in neural information processing systems 32, 2019
172019
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, X Qian
Advances in Neural Information Processing Systems (NeurIPS2020), 2020
142020
MoReL: Multi-omics Relational Learning
A Hasanzadeh, E Hajiramezanali, N Duffield, X Qian
International Conference on Learning Representations (ICLR2022), 2022
62022
Semi-Implicit Stochastic Recurrent Neural Networks
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
62020
Bayesian graph contrastive learning
A Hasanzadeh, M Armandpour, E Hajiramezanali, M Zhou, N Duffield, ...
arXiv preprint arXiv:2112.07823, 2021
32021
Rate selection and power adaptation using maximal ratio combining for the random access Gaussian channel
A Hasanzadeh, JF Chamberland, K Narayanan
arXiv preprint arXiv:1801.03557, 2018
32018
Adaptive conditional quantile neural processes
P Mohseni, N Duffield, B Mallick, A Hasanzadeh
Uncertainty in Artificial Intelligence, 1445-1455, 2023
2023
System and method for maintenance recommendation in industrial networks
H Khorasgani, C Gupta, AK Farahat, A Hasanzadehmoghimi
US Patent App. 16/433,858, 2020
2020
Spatially-Coupled Neural Network Architectures
A Hasanzadeh, NT Janakiraman, VK Amalladinne, KR Narayanan
arXiv preprint arXiv:1907.02051, 2019
2019
Machine Learning for Genomics Explorations (MLGenX)
E Hajiramezanali, C Bunne, A Hasanzadeh, T Biancalani, E Nguyen, ...
ICLR 2024 Workshops, 0
Adaptive Conditional Quantile Neural Processes (Supplementary material)
P Mohseni, N Duffield, B Mallick, A Hasanzadeh
BayReL: Bayesian Relational Learning for Multi-omics Data Integration: Supplementary Materials
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, X Qian
Semi-Implicit Graph Variational Auto-Encoders: Supplementary Material
A Hasanzadeh, E Hajiramezanali, N Duffield, K Narayanan, M Zhou, ...
Variational Graph Recurrent Neural Networks: Supplementary Material
E Hajiramezanali, A Hasanzadeh, N Duffield, K Narayanan, M Zhou, ...
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