Bruno Ribeiro
Scholar

Bruno Ribeiro

Google Scholar ID: KIEleCsAAAAJ
Associate Professor of Computer Science at Purdue University
Machine LearningInvariant RepresentationsRelational Learning
Citations & Impact
All-time
Citations
3,057
 
H-index
25
 
i10-index
55
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Published several papers in 2025, including 'Zero-Shot Generalization of GNNs over Distinct Attribute Domains' (ICML 2025), 'Hattrick: Solving Multi-Class TE using Neural Models' (SIGCOMM 2025), 'Constraint-based Causal Discovery from a Collection of Conditioning Sets' (UAI 2025), 'Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings' (ICLR 2025), and 'Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders' (AISTATS 2025). Supervised students have received significant awards, such as Beatrice Bevilacqua receiving the 2024 MIT EECS Rising Stars award.
Research Experience
  • Currently an Associate Professor in the Department of Computer Science at Purdue University. Recent research projects include publications in top-tier conferences such as ICML, SIGCOMM, UAI, ICLR, and AISTATS. Has supervised multiple PhD and MSc students.
Background
  • Associate Professor of Computer Science at Purdue University. Research interests include foundations of deep learning, graph models, and causal discovery.
Miscellany
  • Personal interests not mentioned.