| 2025 | IJCNN | Revisiting Graph Projections for Effective Complementary Product Recommendation. | Leandro Anghinoni, Pablo Zivic, Jorge Snchez |
| 2024 | SIGIR | Scaling Sequential Recommendation Models with Transformers. | Pablo Zivic, Hernn Ceferino Vzquez, Jorge Snchez |
| 2022 | NAACL | What kinds of errors do reference resolution models make and what can we learn from them? | Jorge Snchez, Mauricio Mazuecos, Hernn Maina, Luciana Benotti |
| 2022 | WACV | Trading-off Information Modalities in Zero-shot Classification. | Jorge Snchez, Matas Molina |
| 2021 | EMNLP | Region under Discussion for visual dialog. | Mauricio Mazuecos, Franco M. Luque, Jorge Snchez, Hernn Maina, Thomas Vadora, Luciana Benotti |
| 2018 | ECCV | A Structured Listwise Approach to Learning to Rank for Image Tagging. | Jorge Snchez, Franco Luque, Leandro Lichtensztein |
| 2012 | CIARP | Classifier Combination Using Random Walks on the Space of Concepts. | Jorge Snchez, Javier A. Redolfi |
| 2011 | CVPR | High-dimensional signature compression for large-scale image classification. | Jorge Snchez, Florent Perronnin |
| 2010 | CVPR | Large-scale image retrieval with compressed Fisher vectors. | Florent Perronnin, Yan Liu, Jorge Snchez, Herv Poirier |
| 2010 | CVPR | Large-scale image categorization with explicit data embedding. | Florent Perronnin, Jorge Snchez, Yan Liu |
| 2010 | ECCV | Improving the Fisher Kernel for Large-Scale Image Classification. | Florent Perronnin, Jorge Snchez, Thomas Mensink |
| 2001 | IM | Integrated Management for IP end-to-end Transport Services over WDM Netwroks. | Joan Serrat, Alex Galis, Nadia Katsanou, Lampros Raptis, Nuno Silva, Fotis Karayannis, Polina Bayvel, W. Verhoef, Harold C. H. Balemans, Jorge Snchez, Roberto Garca, Eduardo Grampn, Dimitris Chronis, Jos A. Lozano, Bruno Mayersohn, Daniel Josef, Chris Todd |