Arman Hasanzadeh

Variational Graph Recurrent Neural Networks

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2019, NeurIPS.

Semi-Implicit Stochastic Recurrent Neural Networks

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semi-Implicit Graph Variational Auto-Encoders

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2019, NeurIPS.

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

Arman Hasanzadeh, Chetan Gupta, Hamed Khorasgani, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

Bayesian Graph Neural Networks with Adaptive Connection Sampling

Xiaoning Qian, Mingyuan Zhou, Ehsan Hajiramezanali, 2020, ICML.

A Graph Signal Processing Approach For Real-Time Traffic Prediction In Transportation Networks

Arman Hasanzadeh, Krishna R. Narayanan, Xi Liu, 2017, 1711.06954.

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

Arman Hasanzadeh, Krishna R. Narayanan, Jean-François Chamberland, 2018, ArXiv.

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

Mostafa Karimi, Arman Hasanzadeh, Yang shen, 2020, bioRxiv.

Spatially-Coupled Neural Network Architectures pdf

Arman Hasanzadeh, Krishna R. Narayanan, Vamsi K. Amalladinne, 2019, ArXiv.

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

Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, 2017, 2019 IEEE International Conference on Big Data (Big Data).

Bayesian Graph Contrastive Learning pdf

Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, 2021, ArXiv.