Olivier Bachem - Concepedia

Author

Olivier Bachem

Also Known As

Bachem, Olivier, Bachem, Olivier Frédéric, Bauer, S, Geist, Matthieu, Holtmann-Rice, Dan, Joulin, Armand, Oliver Bachem, Olivier Bachem, Thain, Nithum

Publications

4.3K

Citations

H-Index

Concepts

All Affiliations

Google (United States)ETH Zurich Max Planck Institute for Intelligent Systems Max Planck Society Brain (Germany)

About

Olivier Bachem is an author at Google (United States) specializing in computer science, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	34	2.9K
2	Education	2	2	156
3	Arts	1	1	57
4	Language Studies	1	1	16
5	Social Sciences	1	1	61

Olivier Bachem

Publications

3.2K

Citations

H-Index

Page 1

	Year	Citations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello, Stefan Bauer, Mario Lučić, arXiv (Cornell University) Structured PredictionCognitive ScienceEngineeringMachine LearningData Science	2018	611
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen, Olivier Bachem, Mario Lučić arXiv (Cornell University) Artificial IntelligenceLarge Ai ModelStructured PredictionEngineeringMachine Learning	2018	359
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello, Stefan Bauer, Mario Lučić, arXiv (Cornell University) Structured PredictionCognitive ScienceEngineeringMachine LearningData Science	2018	299
Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lučić, arXiv (Cornell University) EngineeringMachine LearningData ScienceStatistical DivergencesGenerative Adversarial Network	2018	173
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, arXiv (Cornell University) Multimodal LlmFew-shot LearningMachine VisionImage AnalysisMachine Learning	2019	160
Approximate K-Means++ in Sublinear Time Olivier Bachem, Mario Lučić, S. Hamed Hassani, Proceedings of the AAAI Conference on Artificial Intelligence Mathematical ProgrammingCluster ComputingEngineeringMachine LearningMarkov Chain Monte Carlo	2016	119
Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction Olivier Bachem, Mario Lučić, Andreas Krause arXiv (Cornell University)	2017	113
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningEducationReinforcement Learning (Educational Psychology)	2020	104
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello, Ben Poole, Gunnar Rätsch, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningEngineeringMachine LearningData Science	2020	96
High-Fidelity Image Generation With Fewer Labels Mario Lučić, Michael Tschannen, Marvin Ritter, arXiv (Cornell University) EngineeringMachine LearningDeep Generative ModelsStyle TransferHigh-fidelity Image Generation	2019	95

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