Arman Hasanzadeh

7 papers · 2019–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver

👥 Mega-Team · Squad 🏆 Keyword Champion (2)

Venues

NeurIPS (3) ICLR (1) ICML (1) OSDI (1) UAI (1)

Top co-authors

Nick Duffield (6) Ehsan Hajiramezanali (5) Xiaoning Qian (5) Krishna Narayanan (4) Mingyuan Zhou (3) Aditya Patil (1) Hannah Lin (1) Amir Yazdanbakhsh (1) Deniz Altinbüken (1) Fred Lewis (1)

Research topics

Deep Learning (5) Machine Learning (5) Artificial Intelligence (4) Models (4) Architectures (3) Bayesian & Probabilistic (3) Core Methods (3) Optimization & Theory (3) Computer Science (1) Applications (1) Core AI (1) Learning Types (1)

Keywords

multi-omics data (2) semi-implicit variational inference (2) graph neural network (2) bayesian inference (2) representation learning (2) bayesian learning (1) relational learning (1) uncertainty quantification (1) optimal transport (1) graph representation learning (1) graph structure (1) adaptive sampling (1) quantile regression (1) generative model (1) latent representation (1) multimodal distribution (1) dynamic graph (1) node classification (1) stochastic method (1) automated testing (1)

Papers

ECO: An AI-Driven Code Efficiency Optimizer for Warehouse Scale Computers (Operational Systems) OSDI 2026 Adaptive Conditional Quantile Neural Processes UAI 2023 MoReL: Multi-omics Relational Learning ICLR 2022 Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020 BayReL: Bayesian Relational Learning for Multi-omics Data Integration NeurIPS 2020 Semi-Implicit Graph Variational Auto-Encoders NeurIPS 2019 Variational Graph Recurrent Neural Networks NeurIPS 2019