Pattern and Policy Driven Log Analysis for Software Monitoring. - Ali Razavi; Kostas Kontogiannis (COMPSAC, 2008)

Incremental model synchronization in model driven development environments. - Ali Razavi; Kostas Kontogiannis; Chris Brealey; Leho Nigul (CASCON, 2009)

ProtoTalk: A Generative Software Engineering Framework for Prototyping Protocols in Smalltalk. - Ali Razavi; Kostas Kontogiannis (COMPSAC (1), 2009)

Partial evaluation of model transformations. - Ali Razavi; Kostas Kontogiannis (ICSE, 2012)

Symbol error rate analysis and power allocation for decode and forward relaying with channel estimation error. - Ali Razavi; Mohammad Reza Pakravan (ICT, 2012)

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)

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 (ICLR (Poster), 2019)

Preventing Posterior Collapse with delta-VAEs. - Ali Razavi; Aäron van den Oord; Ben Poole; Oriol Vinyals (ICLR (Poster), 2019)

Generating Diverse High-Resolution Images with VQ-VAE. - Ali Razavi; Aäron van den Oord; Oriol Vinyals (DGS@ICLR, 2019)

Generating Diverse High-Fidelity Images with VQ-VAE-2. - Ali Razavi; Aäron van den Oord; Oriol Vinyals (NeurIPS, 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)

Constrained error rate analysis for wireless body area networks. - Ali Razavi; Mehran Jahed (IET Wirel. Sens. Syst., 2019)

Capacity-Outage Joint Analysis and Optimal Power Allocation for Wireless Body Area Networks. - Ali Razavi; Mehran Jahed (IEEE Syst. J., 2019)

Do Transformers Need Deep Long-Range Memory? - Jack W. Rae; Ali Razavi (ACL, 2020)

Vector Quantized Models for Planning. - Sherjil Ozair; Yazhe Li; Ali Razavi; Ioannis Antonoglou; Aäron van den Oord; Oriol Vinyals (ICML, 2021)

Predicting Video with VQVAE. - Jacob Walker; Ali Razavi; Aäron van den Oord (CoRR, 2021)

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; et al. (CoRR, 2022)

A Generalist Agent. - Scott E. Reed; Konrad Zolna; Emilio Parisotto; Sergio Gómez Colmenarejo; Alexander Novikov 001; Gabriel Barth-Maron; Mai Gimenez; Yury Sulsky; Jackie Kay; Jost Tobias Springenberg; Tom Eccles; Jake Bruce; et al. (Trans. Mach. Learn. Res., 2022)

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; et al. (CoRR, 2023)

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; et al. (CoRR, 2024)