Arman Hasanzadeh

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Relational Learning

Nonlinear Diffusion Filtering

Top Venues

Publications

Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
Adaptive Conditional Quantile Neural Processes. UAI (2023)
Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
Adaptive Conditional Quantile Neural Processes. CoRR (2023)
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
MoReL: Multi-omics Relational Learning. CoRR (2022)
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
MoReL: Multi-omics Relational Learning. ICLR (2022)
Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan
Bayesian Graph Contrastive Learning. CoRR (2021)
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML (2020)
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR (2020)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS (2020)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP (2020)
Mostafa Karimi, Arman Hasanzadeh, Yang Shen
Network-principled deep generative models for designing drug combinations as graph sets. CoRR (2020)
Mostafa Karimi, Arman Hasanzadeh, Yang Shen
Network-principled deep generative models for designing drug combinations as graph sets. Bioinform. 36 (Supplement-1) (2020)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR (2020)
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Graph Variational Auto-Encoders. CoRR (2019)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
Variational Graph Recurrent Neural Networks. CoRR (2019)
Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
Variational Graph Recurrent Neural Networks. NeurIPS (2019)
Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Graph Variational Auto-Encoders. NeurIPS (2019)
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)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Stochastic Recurrent Neural Networks. CoRR (2019)
Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM (2019)
Arman Hasanzadeh, Nagaraj Thenkarai Janakiraman, Vamsi K. Amalladinne, Krishna R. Narayanan
Spatially-Coupled Neural Network Architectures. CoRR (2019)
Arman Hasanzadeh, Jean-François Chamberland, Krishna R. Narayanan
Rate Selection and Power Adaptation using Maximal Ratio Combining for the Random Access Gaussian Channel. CoRR (2018)