Dr. Jakub (J.M.) Tomczak is an associate professor at Eindhoven University of Technology, and a PI leading the Generative Artificial Intelligence team.
Expertise: Jakub's research is focused on Generative Artificial Intelligence that aims at combining deep learning and probabilistic modeling.
(International) leadership: Jakub serves as an area chair at top AI conferences (NeurIPS, AISTATS, UAI) and as an action editor for Transactions of Machine Learning Research (TMLR). He is a member of ELLIS. He has supervised a total of 7 PhD candidates (3 completed). Jakub is regularly invited as an international keynote speaker to conferences, summer/winter schools, and companies.
Grants/prizes/awards: Jakub has obtained a total of 480k€ in external funding. This includes about 180k€ for the prestiguous Marie Sklodowska-Curie Individual Fellowship (MSC-IF) carried out at the University of Amsterdam (2016-2018). Recently, he obtained 280k€ as a personal grant from Qualcomm. He also received several smaller grants and individual awards, including the Network Institute Academy Assistant program (a co-PI; 10k€) and individual scholarships & grants from the Wroclaw University of Technology (altogether 10k€).
Outputs: Jakub is the author of the first comprehensive book on generative AI ("Deep Generative Modeling", Springer, Cham, 2022), (co-)authored 25 peer-reviewed journal articles, and 21 peer-reviewed conference publications including NeurIPS, ICML, ICLR, AISTATS, UAI, ICCV, and CVPR. His publications were jointly cited >4,300 times according to Google Scholar (status on February 2023).
Exploring Continual Learning of Diffusion ModelsarXiv (2023)
Analyzing the Posterior Collapse in Hierarchical Variational AutoencodersCoRR (2023)
Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNNCoRR (2023)
Learning Data Representations with Joint Diffusion ModelsCoRR (2023)
Current Educational Activities
- AI consulting, Amsterdam AI Solutions