Arman Hasanzadeh

22 papers A* 5A 1Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers. CoRR Hannah Lin, Martin Maas, Maximilian Roquemore, Arman Hasanzadeh, Fred Lewis, Yusuf Simonson, Tzu-Wei Yang, Amir Yazdanbakhsh, Deniz Altinbüken, Florin Papa, Maggie Nolan Edmonds, Aditya Patil, Don Schwarz, Satish Chandra, Chris Kennelly, Milad Hashemi, Parthasarathy Ranganathan
2023	A	`conf`	Adaptive Conditional Quantile Neural Processes. UAI Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
2023	J	`jnl`	Adaptive Conditional Quantile Neural Processes. CoRR Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
2022	A*	`conf`	MoReL: Multi-omics Relational Learning. ICLR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
2022	J	`jnl`	MoReL: Multi-omics Relational Learning. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
2021	J	`jnl`	Bayesian Graph Contrastive Learning. CoRR Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan
2020	A*	`conf`	BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian
2020	A*	`conf`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	Network-principled deep generative models for designing drug combinations as graph sets. Bioinform. Mostafa Karimi, Arman Hasanzadeh, Yang Shen
2020	J	`jnl`	Network-principled deep generative models for designing drug combinations as graph sets. CoRR Mostafa Karimi, Arman Hasanzadeh, Yang Shen
2020	Misc	`conf`	Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	—	`conf`	Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta
2019	—	`conf`	Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. IEEE BigData Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan
2019	A*	`conf`	Semi-Implicit Graph Variational Auto-Encoders. NeurIPS Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-Implicit Graph Variational Auto-Encoders. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-Implicit Stochastic Recurrent Neural Networks. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Spatially-Coupled Neural Network Architectures. CoRR Arman Hasanzadeh, Nagaraj Thenkarai Janakiraman, Vamsi K. Amalladinne, Krishna R. Narayanan
2019	A*	`conf`	Variational Graph Recurrent Neural Networks. NeurIPS Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Variational Graph Recurrent Neural Networks. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2018	J	`jnl`	Rate Selection and Power Adaptation using Maximal Ratio Combining for the Random Access Gaussian Channel. CoRR Arman Hasanzadeh, Jean-François Chamberland, Krishna R. Narayanan