Ari S. Morcos
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Christopher D. HarveyStéphane d’AscoliGiulio BiroliLevent SagunMatthew L. LeavittHugo TouvronNeil C. RabinowitzAvraham Ruderman
- Topics
- Neural Networks and Applications (6 papers)Domain Adaptation and Few-Shot Learning (6 papers)Advanced Neural Network Applications (5 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Ari S. Morcos
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 573
- Computer Vision and Pattern Recognition 434
- Cognitive Neuroscience 242
- Cellular and Molecular Neuroscience 105
- Electrical and Electronic Engineering 99
Countries citing papers authored by Ari S. Morcos
This map shows the geographic impact of Ari S. Morcos'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 Ari S. Morcos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari S. Morcos more than expected).
Fields of papers citing papers by Ari S. Morcos
This network shows the impact of papers produced by Ari S. Morcos. 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 Ari S. Morcos. The network helps show where Ari S. Morcos may publish in the future.
Co-authorship network of co-authors of Ari S. Morcos
This figure shows the co-authorship network connecting the top 25 collaborators of Ari S. Morcos. A scholar is included among the top collaborators of Ari S. Morcos 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 Ari S. Morcos. Ari S. Morcos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | ConViT: improving vision transformers with soft convolutional inductive biases*breakdown → | 478 |
| 5 | Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs | 2 |
| 6 | 57 | |
| 7 | 7 | |
| 8 | The Generalization-Stability Tradeoff In Neural Network Pruning | 2 |
| 9 | Reservoir Transformer | 3 |
| 10 | Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP | 12 |
| 11 | 15 | |
| 12 | One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers | 17 |
| 13 | Human-level performance in 3D multiplayer games with population-based reinforcement learningbreakdown → | 349 |
| 14 | Decentralized Distributed PPO: Solving PointGoal Navigation | 8 |
| 15 | Learning to Make Analogies by Contrasting Abstract Relational Structure | 13 |
| 16 | On the importance of single directions for generalization | 15 |
| 17 | Learned Deformation Stability in Convolutional Neural Networks. | 6 |
| 18 | 55 | |
| 19 | 142 | |
| 20 | 33 |
About Ari S. Morcos
Ari S. Morcos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Developmental Neuroscience, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (434 citations), Artificial Intelligence (573 citations) and Cognitive Neuroscience (242 citations). Ari S. Morcos has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Christopher D. Harvey, Stéphane d’Ascoli, Giulio Biroli, Levent Sagun, Matthew L. Leavitt, Hugo Touvron, Neil C. Rabinowitz, Avraham Ruderman, Charles Beattie and Demis Hassabis. Their work appears in journals such as Science, Nature Communications and Journal of Neuroscience.
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.