Ali Razavi

According to our database, Ali Razavi authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Imagen 3.

Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg

CoRR, 2024

2023

Normalizing flows for lattice gauge theory in arbitrary space-time dimension.

Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban

CoRR, 2023

2022

A Generalist Agent.

Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

Trans. Mach. Learn. Res., 2022

Aspects of scaling and scalability for flow-based sampling of lattice QCD.

Ryan Abbott, Michael S. Albergo, Aleksandar Botev, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Alexander G. de G. Matthews, Sébastien Racanière, Ali Razavi, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban

CoRR, 2022

2021

Predicting Video with VQVAE.

Jacob Walker, Ali Razavi, Aäron van den Oord

CoRR, 2021

Vector Quantized Models for Planning.

Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Do Transformers Need Deep Long-Range Memory?

Jack W. Rae, Ali Razavi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Capacity-Outage Joint Analysis and Optimal Power Allocation for Wireless Body Area Networks.

Ali Razavi, Mehran Jahed

IEEE Syst. J., 2019

Constrained error rate analysis for wireless body area networks.

Ali Razavi, Mehran Jahed

IET Wirel. Sens. Syst., 2019

Data-Efficient Image Recognition with Contrastive Predictive Coding.

Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord

CoRR, 2019

Generating Diverse High-Fidelity Images with VQ-VAE-2.

Ali Razavi, Aäron van den Oord, Oriol Vinyals

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generating Diverse High-Resolution Images with VQ-VAE.

Ali Razavi, Aäron van den Oord, Oriol Vinyals

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Preventing Posterior Collapse with delta-VAEs.

Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals

Proceedings of the 7th International Conference on Learning Representations, 2019

Hyperbolic Attention Networks.

Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Population Based Training of Neural Networks.

Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu

CoRR, 2017

2012

Symbol error rate analysis and power allocation for decode and forward relaying with channel estimation error.

Ali Razavi, Mohammad Reza Pakravan

Proceedings of the 19th International Conference on Telecommunications, 2012

Partial evaluation of model transformations.

Ali Razavi, Kostas Kontogiannis

Proceedings of the 34th International Conference on Software Engineering, 2012

2009

ProtoTalk: A Generative Software Engineering Framework for Prototyping Protocols in Smalltalk.

Ali Razavi, Kostas Kontogiannis

Proceedings of the 33rd Annual IEEE International Computer Software and Applications Conference, 2009

Incremental model synchronization in model driven development environments.

Ali Razavi, Kostas Kontogiannis, Chris Brealey, Leho Nigul

Proceedings of the 2009 conference of the Centre for Advanced Studies on Collaborative Research, 2009

2008

Pattern and Policy Driven Log Analysis for Software Monitoring.

Ali Razavi, Kostas Kontogiannis

Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008