Mohammad Babaeizadeh

30 papers A* 7Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Text Prompting for Multi-Concept Video Customization by Autoregressive Generation. CoRR Divya Kothandaraman, Kihyuk Sohn, Ruben Villegas, Paul Voigtlaender, Dinesh Manocha, Mohammad Babaeizadeh
2023	A*	`conf`	Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. ICLR Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
2023	A*	`conf`	StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. NeurIPS Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
2023	J	`jnl`	StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
2022	J	`jnl`	INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL. CoRR Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
2022	A*	`conf`	Information Prioritization through Empowerment in Visual Model-based RL. ICLR Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
2022	J	`jnl`	Phenaki: Variable Length Video Generation From Open Domain Textual Description. CoRR Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
2021	J	`jnl`	FitVid: Overfitting in Pixel-Level Video Prediction. CoRR Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair, Sergey Levine, Chelsea Finn, Dumitru Erhan
2020	A*	`conf`	Adjustable Real-time Style Transfer. ICLR Mohammad Babaeizadeh, Golnaz Ghiasi
2020	A*	`conf`	Model Based Reinforcement Learning for Atari. ICLR 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, George Tucker, Henryk Michalewski
2020	J	`jnl`	Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning. CoRR Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan
2020	A*	`conf`	TRASS: Time Reversal as Self-Supervision. ICRA Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar
2020	A*	`conf`	VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation. ICLR Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma
2019	—	`conf`	Adjustable Real-time Style Transfer. DGS@ICLR Mohammad Babaeizadeh, Golnaz Ghiasi
2019	J	`jnl`	Model-Based Reinforcement Learning for Atari. CoRR 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, Henryk Michalewski
2019	—	`—`	Stochastic prediction in sequential high-dimensional observation space Mohammad Babaeizadeh
2019	J	`jnl`	VideoFlow: A Flow-Based Generative Model for Video. CoRR Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma
2018	J	`jnl`	Adjustable Real-time Style Transfer. CoRR Mohammad Babaeizadeh, Golnaz Ghiasi
2018	—	`conf`	Stochastic Variational Video Prediction. ICLR (Poster) Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine
2018	J	`jnl`	Time Reversal as Self-Supervision. CoRR Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar
2017	—	`conf`	Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	J	`jnl`	Fast Generation for Convolutional Autoregressive Models. CoRR Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	—	`conf`	Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU. ICLR (Poster) Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
2017	J	`jnl`	Stochastic Variational Video Prediction. CoRR Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine
2017	J	`jnl`	Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case. CoRR Faraz Faghri, Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A. Nalls, Saurabh Sinha, Roy H. Campbell
2016	J	`jnl`	GA3C: GPU-based A3C for Deep Reinforcement Learning. CoRR Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
2016	J	`jnl`	NoiseOut: A Simple Way to Prune Neural Networks. CoRR Mohammad Babaeizadeh, Paris Smaragdis, Roy H. Campbell
2016	J	`jnl`	Seq-NMS for Video Object Detection. CoRR Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang
2012	—	`conf`	A comprehensive classification of incident handling information. IST Mohsen Nowruzi, Hossein Hadian Jazi, Mojtaba Dehghan, Mohammad Shahmoradi, Sayed Hadi Hashemi, Mohammad Babaeizadeh
2012	—	`conf`	A comprehensive semi-automated incident handling workflow. IST Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mohsen Nowruzi, Hossein Hadian Jazi, Mohammad Shahmoradi, Elaheh Biglar Beigi Samani