Oriol Vinyals
About
In The Last Decade
Oriol Vinyals
72 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Artificial Intelligence 9.1k
- Computer Vision and Pattern Recognition 7.8k
- Signal Processing 3.3k
- Electrical and Electronic Engineering 854
- Biomedical Engineering 664
Countries citing papers authored by Oriol Vinyals
This map shows the geographic impact of Oriol Vinyals's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Oriol Vinyals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oriol Vinyals more than expected).
Fields of papers citing papers by Oriol Vinyals
This network shows the impact of papers produced by Oriol Vinyals. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Oriol Vinyals. The network helps show where Oriol Vinyals may publish in the future.
Co-authorship network of co-authors of Oriol Vinyals
This figure shows the co-authorship network connecting the top 25 collaborators of Oriol Vinyals. A scholar is included among the top collaborators of Oriol Vinyals based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oriol Vinyals. Oriol Vinyals is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Learning skillful medium-range global weather forecasting breakdown → | 535 |
| 2 | 5 | |
| 3 | Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs | 9 |
| 4 | Classification Accuracy Score for Conditional Generative Models | 21 |
| 5 | REGAL: Transfer Learning For Fast Optimization of Computation Graphs. | 5 |
| 6 | Generating Diverse High-Resolution Images with VQ-VAE | 7 |
| 7 | Sample-efficient adaptive text-to-speech | 16 |
| 8 | Learning Fast Optimizers for Contextual Stochastic Integer Programs | 3 |
| 9 | Synthesizing Programs for Images using Reinforced Adversarial Learning. | 11 |
| 10 | Imagination-Augmented Agents for Deep Reinforcement Learning | 49 |
| 11 | Understanding Synthetic Gradients and Decoupled Neural Interfaces | 6 |
| 12 | Listen, attend and spell: A neural network for large vocabulary conversational speech recognition breakdown → | 1327 |
| 13 | Strategic Attentive Writer for Learning Macro-Actions | 17 |
| 14 | Pointer networks breakdown → | 615 |
| 15 | Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks breakdown → | 1080 |
| 16 | Qualitatively characterizing neural network optimization problems | 54 |
| 17 | 96 | |
| 18 | On Compact Codes for Spatially Pooled Features | 2 |
| 19 | Learning with Recursive Perceptual Representations | 45 |
| 20 | Speaker Diarization: A Review of Recent Research | 1 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.