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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.

J. Ho, X. Chen, A. Srinivas, Y. Duan, and P. Abbeel. ICML, volume 97 of Proceedings of Machine Learning Research, page 2722-2730. PMLR, (2019)

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Aravind Sekhar

Aravind Pasula

Srinivas Jagarlamudi

Srinivas Yarlanki

Aravind Bedekar

Other publications of authors with the same name

Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation.G. Ghiasi, Y. Cui, A. Srinivas, R. Qian, T. Lin, E. Cubuk, Q. Le, and B. Zoph. CoRR, (2020)Reinforcement Learning with Latent Flow.W. Shang, X. Wang, A. Srinivas, A. Rajeswaran, Y. Gao, P. Abbeel, and M. Laskin. NeurIPS, page 22171-22183. (2021)SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning.C. Reed, S. Metzger, A. Srinivas, T. Darrell, and K. Keutzer. CVPR, page 2674-2683. Computer Vision Foundation / IEEE, (2021)Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control.A. Srinivas, A. Jabri, P. Abbeel, S. Levine, and C. Finn. ICML, volume 80 of Proceedings of Machine Learning Research, page 4739-4748. PMLR, (2018)Bottleneck Transformers for Visual Recognition.A. Srinivas, T. Lin, N. Parmar, J. Shlens, P. Abbeel, and A. Vaswani. CVPR, page 16519-16529. Computer Vision Foundation / IEEE, (2021)CURL: Contrastive Unsupervised Representations for Reinforcement Learning.M. Laskin, A. Srinivas, and P. Abbeel. ICML, volume 119 of Proceedings of Machine Learning Research, page 5639-5650. PMLR, (2020)Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.J. Ho, X. Chen, A. Srinivas, Y. Duan, and P. Abbeel. ICML, volume 97 of Proceedings of Machine Learning Research, page 2722-2730. PMLR, (2019)Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.L. Chen, K. Lee, A. Srinivas, and P. Abbeel. NeurIPS, page 26779-26791. (2021)Revisiting ResNets: Improved Training and Scaling Strategies.I. Bello, W. Fedus, X. Du, E. Cubuk, A. Srinivas, T. Lin, J. Shlens, and B. Zoph. NeurIPS, page 22614-22627. (2021)Decision Transformer: Reinforcement Learning via Sequence Modeling.L. Chen, K. Lu, A. Rajeswaran, K. Lee, A. Grover, M. Laskin, P. Abbeel, A. Srinivas, and I. Mordatch. NeurIPS, page 15084-15097. (2021)

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Disambiguation of "Srinivas, Aravind"

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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.

Please choose a person to relate this publication to

Aravind Sekhar

Aravind Pasula

Srinivas Jagarlamudi

Srinivas Yarlanki

Aravind Bedekar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Srinivas, Aravind"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.

Please choose a person to relate this publication to

Aravind Sekhar

Aravind Pasula

Srinivas Jagarlamudi

Srinivas Yarlanki

Aravind Bedekar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.