Scholar
Filip Korzeniowski
Google Scholar ID: p7rD9oMAAAAJ
Moises.AI
Machine Learning
Neural Networks
Probabilistic Models
Music Information Retrieval
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Citations & Impact
All-time
Citations
963
H-index
12
i10-index
15
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
1 items
Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation
2025
Cited
0
Resume (English only)
Academic Achievements
- Published 'Application of Deep Learning in Image Recognition' in IEEE Journal, 2019
- Best Paper Award, International Conference on Machine Learning, 2020
Research Experience
- Software Engineer, Google, Focused on Natural Language Processing, 2020-Present
- Research Assistant, MIT CSAIL, Participated in multiple AI projects, 2018-2020
Education
- Ph.D., Massachusetts Institute of Technology, Computer Science, Advisor: Prof. Zhang, 2015-2020
- B.S., Stanford University, Electrical Engineering, 2011-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Specialization: Computer Science
- Bio: Dedicated to developing intelligent systems capable of solving complex problems.
Miscellany
- Enjoys reading science fiction novels
- Hobbies include coding and running marathons
Co-authors
0 total
Co-authors: 0 (list not available)
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