A comprehensive semi-automated incident handling workflow. - Sayed Hadi Hashemi; Mohammad Babaeizadeh; Mohsen Nowruzi; Hossein Hadian Jazi; Mohammad Shahmoradi; Elaheh Biglar Beigi Samani (IST, 2012)

A comprehensive classification of incident handling information. - Mohsen Nowruzi; Hossein Hadian Jazi; Mojtaba Dehghan; Mohammad Shahmoradi; Sayed Hadi Hashemi; Mohammad Babaeizadeh (IST, 2012)

GA3C: GPU-based A3C for Deep Reinforcement Learning. - Mohammad Babaeizadeh; Iuri Frosio; Stephen Tyree; Jason Clemons; Jan Kautz (CoRR, 2016)

NoiseOut: A Simple Way to Prune Neural Networks. - Mohammad Babaeizadeh; Paris Smaragdis; Roy H. Campbell (CoRR, 2016)

Seq-NMS for Video Object Detection. - Wei Han 002; Pooya Khorrami; Tom Le Paine; Prajit Ramachandran; Mohammad Babaeizadeh; Honghui Shi; Jianan Li 001; Shuicheng Yan; Thomas S. Huang (CoRR, 2016)

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. - Mohammad Babaeizadeh; Iuri Frosio; Stephen Tyree; Jason Clemons; Jan Kautz (ICLR (Poster), 2017)

Fast Generation for Convolutional Autoregressive Models. - Prajit Ramachandran; Tom Le Paine; Pooya Khorrami; Mohammad Babaeizadeh; Shiyu Chang; Yang Zhang 001; Mark A. Hasegawa-Johnson; Roy H. Campbell; Thomas S. Huang (ICLR (Workshop), 2017)

Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case. - Faraz Faghri; Sayed Hadi Hashemi; Mohammad Babaeizadeh; Mike A. Nalls; Saurabh Sinha; Roy H. Campbell (CoRR, 2017)

Stochastic Variational Video Prediction. - Mohammad Babaeizadeh; Chelsea Finn; Dumitru Erhan; Roy H. Campbell; Sergey Levine (ICLR (Poster), 2018)

Time Reversal as Self-Supervision. - Suraj Nair 003; Mohammad Babaeizadeh; Chelsea Finn; Sergey Levine; Vikash Kumar (CoRR, 2018)

Model-Based Reinforcement Learning for Atari. - Lukasz Kaiser; Mohammad Babaeizadeh; Piotr Milos; Blazej Osinski; Roy H. Campbell; Konrad Czechowski; Dumitru Erhan; Chelsea Finn; Piotr Kozakowski; Sergey Levine; Ryan Sepassi; George Tucker; et al. (CoRR, 2019)

VideoFlow: A Flow-Based Generative Model for Video. - Manoj Kumar; Mohammad Babaeizadeh; Dumitru Erhan; Chelsea Finn; Sergey Levine; Laurent Dinh; Durk Kingma (CoRR, 2019)

Stochastic prediction in sequential high-dimensional observation space - Mohammad Babaeizadeh (2019)

Adjustable Real-time Style Transfer. - Mohammad Babaeizadeh; Golnaz Ghiasi (ICLR, 2020)

Model Based Reinforcement Learning for Atari. - Lukasz Kaiser; Mohammad Babaeizadeh; Piotr Milos; Blazej Osinski; Roy H. Campbell; Konrad Czechowski; Dumitru Erhan; Chelsea Finn; Piotr Kozakowski; Sergey Levine; Afroz Mohiuddin; Ryan Sepassi; et al. (ICLR, 2020)

VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation. - Manoj Kumar; Mohammad Babaeizadeh; Dumitru Erhan; Chelsea Finn; Sergey Levine; Laurent Dinh; Durk Kingma (ICLR, 2020)

TRASS: Time Reversal as Self-Supervision. - Suraj Nair 003; Mohammad Babaeizadeh; Chelsea Finn; Sergey Levine; Vikash Kumar (ICRA, 2020)

Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning. - Mohammad Babaeizadeh; Mohammad Taghi Saffar; Danijar Hafner; Harini Kannan; Chelsea Finn; Sergey Levine; Dumitru Erhan (CoRR, 2020)

FitVid: Overfitting in Pixel-Level Video Prediction. - Mohammad Babaeizadeh; Mohammad Taghi Saffar; Suraj Nair 003; Sergey Levine; Chelsea Finn; Dumitru Erhan (CoRR, 2021)

Information Prioritization through Empowerment in Visual Model-based RL. - Homanga Bharadhwaj; Mohammad Babaeizadeh; Dumitru Erhan; Sergey Levine (ICLR, 2022)

Phenaki: Variable Length Video Generation From Open Domain Textual Description. - Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang 010; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan (CoRR, 2022)

Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. - Ruben Villegas; Mohammad Babaeizadeh; Pieter-Jan Kindermans; Hernan Moraldo; Han Zhang 010; Mohammad Taghi Saffar; Santiago Castro; Julius Kunze; Dumitru Erhan (ICLR, 2023)

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. - Emanuele Bugliarello; H. Hernan Moraldo; Ruben Villegas; Mohammad Babaeizadeh; Mohammad Taghi Saffar; Han Zhang 010; Dumitru Erhan; Vittorio Ferrari; Pieter-Jan Kindermans; Paul Voigtlaender (NeurIPS, 2023)

Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. - Divya Kothandaraman; Kihyuk Sohn; Ruben Villegas; Paul Voigtlaender; Dinesh Manocha; Mohammad Babaeizadeh (CoRR, 2024)