Scholar
Borja Rodríguez Gálvez
Google Scholar ID: sq1BkUMAAAAJ
Researcher, KTH Royal Institute of Technology
Citations & Impact
Citations
346
H-index
11
i10-index
11
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- PhD Thesis: An Information-Theoretic Approach to Generalization Theory; Published multiple papers in conferences and journals such as ISIT 2024, ICML 2023, ISIT 2023, ALT 2023, Allerton 2022, etc.
Research Experience
- Interned at the Privacy and Machine Learning team at Apple (Summer 2021), the Machine Learning and Computer Vision team at CISCO (Summer 2019), and the Machine Learning and Computer Vision team at Tobii AB (Summer 2018).
Education
- PhD: KTH Royal Institute of Technology, supervised by Mikael Skoglund and Ragnar Thobaben; Master's degree: KTH Royal Institute of Technology; Bachelor's degree: Universitat Politècnica de Catalunya (UPC), majoring in Telecommunications Engineering.
Background
- A researcher at KTH Royal Institute of Technology. Research interests include: generalization of learning algorithms, privacy and fairness of learning algorithms, uncertainty in learning algorithms, representation learning (specifically minimal and sufficient representations, disentangled representations, private and fair representations). Also interested in other topics in information theory and machine learning.
Miscellany
- Email: borjabrg12 at gmail dot com
