Manuel Madeira
Scholar

Manuel Madeira

Google Scholar ID: OhijpAwAAAAJ
EPFL
Deep LearningGraph Generation
Citations & Impact
All-time
Citations
23
 
H-index
3
 
i10-index
1
 
Publications
10
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Selected Publications: 1. DeFoG: Discrete Flow Matching for Graph Generation (with Qin et al.) 2. Generative Modelling of Structurally Constrained Graphs (with Vignac et al.) 3. Tertiary Lymphoid Structures Generation through Graph-based Diffusion (with Thanou and Frossard)
Research Experience
  • Before starting his PhD, he was a Machine Learning researcher at Inductiva Research Labs, working on physics-informed neural networks for heat diffusion and coastal dynamics.
Education
  • PhD student at LTS4, EPFL (Switzerland), under the supervision of Pascal Frossard and Dorina Thanou; BSc and MSc in Biomedical Engineering from Instituto Superior Técnico, with his MSc thesis advised by Renato Negrinho, Pedro Aguiar, and João Xavier; Visiting student at Tsinghua University.
Background
  • Research interests span generative modeling, graph deep learning, and their applications in scientific discovery. Currently an Applied Scientist Intern at Amazon.
Miscellany
  • In his spare time, he is really into sports, especially football. He also enjoys reading books and watching movies.