MSc Yanbo Wang
PhD student
Signal Processing Systems (SPS), Department of Microelectronics
Signal Processing Systems (SPS), Department of Microelectronics
Expertise: Machine learning
Biography
Yanbo Wang is a PhD student at SPS under supervision of Justin Dauwels since 1st of October, 2021. He is working on deep generative models to achieve a compositional understanding of natural scenes. The goal is to represent given scenes as a composition of objects and also generate novel scenes with controllable objects in an unsupervised way.
EE4685 Bayesian machine learning
Mathematical foundation for machine learning algorithms, presented from a statistical (Bayesian) and optimization point of view.
- Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang; Justin Dauwels; Yilun Du;
In Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025,
PMLR, 2025.
document - Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
Junzhe Yin; Cristian Meo; Ankush Roy; Zeineh Bou Cher; Mircea Lica; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels;
In 32nd European Signal Processing Conference, EUSIPCO 2024, Lyon, France, August 26-30, 2024,
IEEE, pp. 967--971, 2024.
document - Nowcasting of Extreme Precipitation Using Deep Generative Models
Haoran Bi; Maksym Kyryliuk; Zhiyi Wang; Cristian Meo; Yanbo Wang; Ruben Imhoff; Remko Uijlenhoet; Justin Dauwels;
In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023,
IEEE, pp. 1--5, 2023. DOI: 10.1109/ICASSP49357.2023.10094988
document - Slot-VAE: Object-Centric Scene Generation with Slot Attention
Yanbo Wang; Letao Liu; Justin Dauwels;
In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA,
PMLR, pp. 36020--36035, 2023.
document
BibTeX support
Last updated: 31 Dec 2022
Yanbo Wang
- Y.Wang-27@tudelft.nl
- Room: HB 17.290
- List of publications