Alizadeh, Mohammad

12 publications

ICLR 2025 Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh

ICML 2023 Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah

ICCV 2021 Efficient Video Compression via Content-Adaptive Super-Resolution Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh

ICCV 2021 Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden

ICCV 2021 Real-Time Video Inference on Edge Devices via Adaptive Model Streaming Mehrdad Khani, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh

NeurIPSW 2020 Neural Large Neighborhood Search Ravichandra Addanki, Vinod Nair, Mohammad Alizadeh

AAAI 2020 RoadTagger: Robust Road Attribute Inference with Graph Neural Networks Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi

ECCV 2020 Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi

NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh

ICMLW 2019 Park: An Open Platform for Learning Augmented Computer Systems Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh

ICMLW 2019 Real-World Video Adaptation with Reinforcement Learning Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy

ICLR 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh