Josip Djolonga
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Computational Theory and Mathematics top 10%
- Computational Mechanics
- Co-authors
- Andreas KrauseVolkan CevherAlexey DosovitskiyMario LučićSylvain GellyMichael TschannenPaul K. RubensteinSebastian Tschiatschek
- Topics
- Domain Adaptation and Few-Shot Learning (4 papers)Machine Learning and Algorithms (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)Repository for Publications and Research Data (ETH Zurich)arXiv (Cornell University)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Josip Djolonga
12 papers receiving 158 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 48
- Management Science and Operations Research 38
- Computational Theory and Mathematics 37
- Computational Mechanics 12
Countries citing papers authored by Josip Djolonga
This map shows the geographic impact of Josip Djolonga'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 Josip Djolonga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josip Djolonga more than expected).
Fields of papers citing papers by Josip Djolonga
This network shows the impact of papers produced by Josip Djolonga. 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 Josip Djolonga. The network helps show where Josip Djolonga may publish in the future.
Co-authorship network of co-authors of Josip Djolonga
This figure shows the co-authorship network connecting the top 25 collaborators of Josip Djolonga. A scholar is included among the top collaborators of Josip Djolonga 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 Josip Djolonga. Josip Djolonga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | You Only Train Once: Loss-Conditional Training of Deep Networks | 22 |
| 3 | On Mutual Information Maximization for Representation Learning | 15 |
| 4 | Evaluating Generative Models using Divergence Frontiers | 1 |
| 5 | The Visual Task Adaptation Benchmark | 22 |
| 6 | 5 | |
| 7 | Differentiable Learning of Submodular Models | 12 |
| 8 | Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation | 7 |
| 9 | 3 | |
| 10 | 2 | |
| 11 | From MAP to Marginals: Variational Inference in Bayesian Submodular Models | 18 |
| 12 | High-Dimensional Gaussian Process Bandits | 53 |
About Josip Djolonga
Josip Djolonga is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 12 papers that have together received 165 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Algorithms (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (123 citations), Management Science and Operations Research (38 citations) and Computer Vision and Pattern Recognition (48 citations). Josip Djolonga has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Andreas Krause, Volkan Cevher, Alexey Dosovitskiy, Mario Lučić, Sylvain Gelly, Michael Tschannen, Paul K. Rubenstein, Sebastian Tschiatschek, Maxim Neumann and Olivier Bousquet. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Repository for Publications and Research Data (ETH Zurich) and arXiv (Cornell University).
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.