Arman Hasanzadeh

According to our database, Arman Hasanzadeh authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Adaptive Conditional Quantile Neural Processes.

Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

MoReL: Multi-omics Relational Learning.

Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Bayesian Graph Contrastive Learning.

Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan

CoRR, 2021

2020

Network-principled deep generative models for designing drug combinations as graph sets.

Mostafa Karimi, Arman Hasanzadeh, Yang Shen

Bioinform., 2020

BayReL: Bayesian Relational Learning for Multi-omics Data Integration.

Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Graph Neural Networks with Adaptive Connection Sampling.

Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian

Proceedings of the 37th International Conference on Machine Learning, 2020

Semi-Implicit Stochastic Recurrent Neural Networks.

Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Spatially-Coupled Neural Network Architectures.

Arman Hasanzadeh, Nagaraj Thenkarai Janakiraman, Vamsi K. Amalladinne, Krishna R. Narayanan

CoRR, 2019

Semi-Implicit Graph Variational Auto-Encoders.

Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Graph Recurrent Neural Networks.

Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks.

Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction.

Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Rate Selection and Power Adaptation using Maximal Ratio Combining for the Random Access Gaussian Channel.

Arman Hasanzadeh, Jean-François Chamberland, Krishna R. Narayanan

CoRR, 2018