Mohammad Babaeizadeh
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Model-based reinforcement learning for atari
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...
8th International Conference on Learning Representations (ICLR), 2019
Stochastic Variational Video Prediction
M Babaeizadeh, C Finn, D Erhan, RH Campbell, S Levine
6th International Conference on Learning Representations (ICLR), 2018
Seq-nms for video object detection
W Han, P Khorrami, TL Paine, P Ramachandran, M Babaeizadeh, H Shi, ...
arXiv preprint arXiv:1602.08465, 2016
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz
5th International Conference on Learning Representations (ICLR), 2017
Phenaki: Variable length video generation from open domain textual description
R Villegas, M Babaeizadeh, PJ Kindermans, H Moraldo, H Zhang, ...
arXiv preprint arXiv:2210.02399, 2022
Fast generation for convolutional autoregressive models
P Ramachandran, TL Paine, P Khorrami, M Babaeizadeh, S Chang, ...
arXiv preprint arXiv:1704.06001, 2017
Videoflow: A flow-based generative model for video
M Kumar, M Babaeizadeh, D Erhan, C Finn, S Levine, L Dinh, D Kingma
arXiv preprint arXiv:1903.01434 2 (5), 3, 2019
Videoflow: A conditional flow-based model for stochastic video generation
M Kumar, M Babaeizadeh, D Erhan, C Finn, S Levine, L Dinh, D Kingma
arXiv preprint arXiv:1903.01434, 2019
GA3C: GPU-based A3C for deep reinforcement learning
M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz
CoRR abs/1611.06256, 2016
FitVid: High-Capacity Pixel-Level Video Prediction
M Babaeizadeh, MT Saffar, S Nair, S Levine, C Finn, D Erhan
Creating a calendar event using context
TJ Hazen, D Bishop, N Duta, M Babaeizadeh, P Longo
US Patent 9,372,851, 2016
Noiseout: A simple way to prune neural networks
M Babaeizadeh, P Smaragdis, RH Campbell
arXiv preprint arXiv:1611.06211, 2016
Trass: Time reversal as self-supervision
S Nair, M Babaeizadeh, C Finn, S Levine, V Kumar
2020 IEEE International Conference on Robotics and Automation (ICRA), 115-121, 2020
Adjustable real-time style transfer
M Babaeizadeh, G Ghiasi
arXiv preprint arXiv:1811.08560, 2018
Information prioritization through empowerment in visual model-based RL
H Bharadhwaj, M Babaeizadeh, D Erhan, S Levine
arXiv preprint arXiv:2204.08585, 2022
Models, pixels, and rewards: Evaluating design trade-offs in visual model-based reinforcement learning
M Babaeizadeh, MT Saffar, D Hafner, H Kannan, C Finn, S Levine, ...
arXiv preprint arXiv:2012.04603, 2020
Toward scalable machine learning and data mining: the bioinformatics case
F Faghri, SH Hashemi, M Babaeizadeh, MA Nalls, S Sinha, RH Campbell
arXiv preprint arXiv:1710.00112, 2017
A comprehensive classification of incident handling information
M Nowruzi, HH Jazi, M Dehghan, M Shahmoradi, SH Hashemi, ...
6th International symposium on telecommunications (IST), 1071-1075, 2012
A comprehensive semi-automated incident handling workflow
SH Hashemi, M Babaeizadeh, M Nowruzi, HH Jazi, M Shahmoradi, ...
6th International Symposium on Telecommunications (IST), 1065-1070, 2012
StoryBench: a multifaceted benchmark for continuous story visualization
E Bugliarello, HH Moraldo, R Villegas, M Babaeizadeh, MT Saffar, ...
Advances in Neural Information Processing Systems 36, 2024
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