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)

Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. - Arman Hasanzadeh; Xi Liu 011; Nick Duffield; Krishna R. Narayanan (IEEE BigData, 2019)

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. - Hamed Khorasgani; Arman Hasanzadeh; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2019)

Variational Graph Recurrent Neural Networks. - Ehsan Hajiramezanali; Arman Hasanzadeh; Krishna R. Narayanan; Nick Duffield; Mingyuan Zhou; Xiaoning Qian (NeurIPS, 2019)

Semi-Implicit Graph Variational Auto-Encoders. - Arman Hasanzadeh; Ehsan Hajiramezanali; Krishna R. Narayanan; Nick Duffield; Mingyuan Zhou; Xiaoning Qian (NeurIPS, 2019)

Spatially-Coupled Neural Network Architectures. - Arman Hasanzadeh; Nagaraj Thenkarai Janakiraman; Vamsi K. Amalladinne; Krishna R. Narayanan (CoRR, 2019)

Semi-Implicit Stochastic Recurrent Neural Networks. - Ehsan Hajiramezanali; Arman Hasanzadeh; Nick Duffield; Krishna Narayanan 001; Mingyuan Zhou; Xiaoning Qian (ICASSP, 2020)

Bayesian Graph Neural Networks with Adaptive Connection Sampling. - Arman Hasanzadeh; Ehsan Hajiramezanali; Shahin Boluki; Mingyuan Zhou; Nick Duffield; Krishna Narayanan 001; Xiaoning Qian (ICML, 2020)

BayReL: Bayesian Relational Learning for Multi-omics Data Integration. - Ehsan Hajiramezanali; Arman Hasanzadeh; Nick Duffield; Krishna Narayanan 001; Xiaoning Qian (NeurIPS, 2020)

Network-principled deep generative models for designing drug combinations as graph sets. - Mostafa Karimi; Arman Hasanzadeh; Yang Shen 001 (Bioinform., 2020)

Bayesian Graph Contrastive Learning. - Arman Hasanzadeh; Mohammadreza Armandpour; Ehsan Hajiramezanali; Mingyuan Zhou; Nick Duffield; Krishna Narayanan 001 (CoRR, 2021)

MoReL: Multi-omics Relational Learning. - Arman Hasanzadeh; Ehsan Hajiramezanali; Nick Duffield; Xiaoning Qian (ICLR, 2022)

Adaptive Conditional Quantile Neural Processes. - Peiman Mohseni; Nick Duffield; Bani K. Mallick; Arman Hasanzadeh (UAI, 2023)

ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers. - Hannah Lin; Martin Maas 001; Maximilian Roquemore; Arman Hasanzadeh; Fred Lewis; Yusuf Simonson; Tzu-Wei Yang; Amir Yazdanbakhsh; Deniz Altinbüken; Florin Papa; Maggie Nolan Edmonds; Aditya Patil; et al. (CoRR, 2025)