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ORCIDArman Hasanzadeh
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2020 – today
- 2023
[c9]Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh:
Adaptive Conditional Quantile Neural Processes. UAI 2023: 1445-1455- [i11]Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh:
Adaptive Conditional Quantile Neural Processes. CoRR abs/2305.18777 (2023) - 2022
- [c8]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian:
MoReL: Multi-omics Relational Learning. ICLR 2022 - [i10]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian:
MoReL: Multi-omics Relational Learning. CoRR abs/2203.08149 (2022) - 2021
- [i9]Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan:
Bayesian Graph Contrastive Learning. CoRR abs/2112.07823 (2021) - 2020
- [j1]Mostafa Karimi, Arman Hasanzadeh, Yang Shen
:
Network-principled deep generative models for designing drug combinations as graph sets. Bioinform. 36(Supplement-1): i445-i454 (2020) - [c7]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP 2020: 3342-3346 - [c6]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 - [c5]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS 2020 - [i8]Mostafa Karimi, Arman Hasanzadeh, Yang Shen:
Network-principled deep generative models for designing drug combinations as graph sets. CoRR abs/2004.07782 (2020) - [i7]Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian:
Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR abs/2006.04064 (2020) - [i6]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian:
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR abs/2010.05895 (2020)
2010 – 2019
- 2019
- [c4]Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan:
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. IEEE BigData 2019: 3779-3788 - [c3]Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta:
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM 2019: 1-7 - [c2]Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. NeurIPS 2019: 10700-10710 - [c1]Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. NeurIPS 2019: 10711-10722 - [i5]Arman Hasanzadeh, Nagaraj Thenkarai Janakiraman, Vamsi K. Amalladinne, Krishna R. Narayanan:
Spatially-Coupled Neural Network Architectures. CoRR abs/1907.02051 (2019) - [i4]Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Graph Variational Auto-Encoders. CoRR abs/1908.07078 (2019) - [i3]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Variational Graph Recurrent Neural Networks. CoRR abs/1908.09710 (2019) - [i2]Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. CoRR abs/1910.12819 (2019) - 2018
- [i1]Arman Hasanzadeh, Jean-François Chamberland, Krishna R. Narayanan:
Rate Selection and Power Adaptation using Maximal Ratio Combining for the Random Access Gaussian Channel. CoRR abs/1801.03557 (2018)
Coauthor Index
aka: Nick Duffield
aka: Krishna R. Narayanan
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