Olivier Bachem
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Statistical and Nonlinear Physics
- Electrical and Electronic Engineering
- Co-authors
- Mario LučićAndreas KrauseS. Hamed HassaniSylvain GellyFrancesco LocatelloOlivier BousquetHamed HassaniMehdi S. M. Sajjadi
- Topics
- Advanced Clustering Algorithms Research (5 papers)Data Management and Algorithms (5 papers)Anomaly Detection Techniques and Applications (5 papers)
- Journals
- Journal of Machine Learning ResearcharXiv (Cornell University)Neural Information Processing Systems
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Olivier Bachem
24 papers receiving 420 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 288
- Computer Vision and Pattern Recognition 207
- Signal Processing 76
- Statistical and Nonlinear Physics 28
- Electrical and Electronic Engineering 26
Countries citing papers authored by Olivier Bachem
This map shows the geographic impact of Olivier Bachem'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 Olivier Bachem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Bachem more than expected).
Fields of papers citing papers by Olivier Bachem
This network shows the impact of papers produced by Olivier Bachem. 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 Olivier Bachem. The network helps show where Olivier Bachem may publish in the future.
Co-authorship network of co-authors of Olivier Bachem
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Bachem. A scholar is included among the top collaborators of Olivier Bachem 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 Olivier Bachem. Olivier Bachem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study | 26 |
| 5 | The Role of Pretrained Representations for the OOD Generalization of RL Agents | 2 |
| 6 | Disentangling Factors of Variations Using Few Labels | 21 |
| 7 | Automatic Shortcut Removal for Self-Supervised Representation Learning | 2 |
| 8 | 2 | |
| 9 | Evaluating Generative Models using Divergence Frontiers | 1 |
| 10 | Are Disentangled Representations Helpful for Abstract Visual Reasoning | 31 |
| 11 | High-Fidelity Image Generation With Fewer Labels | 16 |
| 12 | On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset | 14 |
| 13 | The Visual Task Adaptation Benchmark | 22 |
| 14 | One-shot Coresets: The Case of k-Clustering | 6 |
| 15 | 52 | |
| 16 | Distributed and Provably Good Seedings for k-Means in Constant Rounds | 8 |
| 17 | Uniform Deviation Bounds for k-Means Clustering | 6 |
| 18 | Fast and Provably Good Seedings for k-Means | 46 |
| 19 | 78 | |
| 20 | Linear-time outlier detection via sensitivity | 1 |
About Olivier Bachem
Olivier Bachem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 25 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Data Management and Algorithms (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Artificial Intelligence (288 citations) and Signal Processing (76 citations). Olivier Bachem has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Mario Lučić, Andreas Krause, S. Hamed Hassani, Sylvain Gelly, Francesco Locatello, Olivier Bousquet, Hamed Hassani, Mehdi S. M. Sajjadi, Michael Tschannen and Bernhard Schölkopf. Their work appears in journals such as Journal of Machine Learning Research, arXiv (Cornell University) and Neural Information Processing Systems.
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.