O
Oriol Vinyals
Researcher at Google
Publications - 218
Citations - 121048
Oriol Vinyals is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Reinforcement learning. The author has an hindex of 84, co-authored 200 publications receiving 82365 citations. Previous affiliations of Oriol Vinyals include University of California, San Diego & University of California, Berkeley.
Papers
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Solving Mixed Integer Programs Using Neural Networks
Vinod Nair,Sergey Bartunov,Felix Gimeno,Ingrid von Glehn,Pawel Lichocki,Ivan Lobov,Brendan O'Donoghue,Nicolas Sonnerat,Christian Tjandraatmadja,Pengming Wang,Ravichandra Addanki,Tharindi Hapuarachchi,Thomas Keck,James Keeling,Pushmeet Kohli,Ira Ktena,Yujia Li,Oriol Vinyals,Yori Zwols +18 more
TL;DR: In this paper, Neural Diving and Neural Branching are applied to the two key sub-tasks of a mixed integer programming (MIP) solver, generating a high-quality joint variable assignment and bounding the gap in objective value between that assignment and an optimal one.
Patent
Processing sequences using convolutional neural networks
Aaron van den Oord,Sander Dieleman,Nal Kalchbrenner,Karen Simonyan,Oriol Vinyals,Lasse Espeholt +5 more
TL;DR: In this paper, a method for generating neural network output from an input sequence is proposed, where the output subnetwork is configured to receive the alternative representations and to process the alternative representation to generate the neural network outputs.
Proceedings Article
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne,Andrew Jaegle,Catalina Cangea,Sebastian Borgeaud,Charlie Nash,Mateusz Malinowski,Sander Dieleman,Oriol Vinyals,Matthew Botvinick,Ian Simon,Hannah R. Sheahan,Neil Zeghidour,Jean-Baptiste Alayrac,Joao Carreira,Jesse Engel +14 more
TL;DR: Perceiver AR is developed, an modality-agnostic architecture which uses cross-attention to map long-range inputs to a small number of latents while also maintaining end-to-end causal masking, enabling practical long-context density estimation without the need for hand-crafted sparsity patterns or memory mechanisms.
Posted Content
Video Pixel Networks
Nal Kalchbrenner,Aaron van den Oord,Karen Simonyan,Ivo Danihelka,Oriol Vinyals,Alex Graves,Koray Kavukcuoglu +6 more
TL;DR: The Video Pixel Network (VPN) as discussed by the authors estimates the discrete joint distribution of the raw pixel values in a video by encoding the time, space and color structure of video tensors and encode it as a four-dimensional dependency chain.
Proceedings ArticleDOI
Live speaker identification in conversations
Gerald Friedland,Oriol Vinyals +1 more
TL;DR: The following article describes the technical demonstration of an online speaker identification system for conversations able to identify the current speaker independent of spoken text or language with a latency of about 1.5 seconds and an accuracy of about 85% (as evaluated against the NIST RT benchmark).