Manuscripts

1. [Preprint, Code] Rigoni, Davide, et al. "TumFlow: An AI Model for Predicting New Anticancer Molecules." bioRxiv (2024): 2024-02.

2. [Preprint, Code] Rigoni, Davide, et al. "Object Search by a Concept-Conditioned Object Detector." UNDER PEER-REVIEW.

3. [Unipd] Rigoni, Davide. "Understanding Multimedia Content with Prior Knowledge." Università degli studi di Padova (2023).

4. [Preprint, Code] Rigoni, Davide, et al. "Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement." 34th British Machine Vision Conference 2023, BMVC 2023.

5. [Preprint, Code] Rigoni, Davide, Nicolò Navarin, and Alessandro Sperduti. "RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design." arXiv preprint arXiv:2305.11699 (2023).

6. [SCIA 2023, Code] Rigoni, Davide, Desmond Elliott, and Stella Frank. "Cleaner Categories Improve Object Detection and Visual-Textual Grounding." In Image Analysis: 23rd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, Proceedings, Part I, pp. 412-442. Cham: Springer Nature Switzerland, 2023.

7. [ACM/SIGAPP 2022, Code] Rigoni, Davide, Luciano Serafini, and Alessandro Sperduti. "A better loss for visual-textual grounding." Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 2022.

8. [IEEE SSCI 2020, Code] Rigoni, Davide, Nicolò Navarin, and Alessandro Sperduti. "Conditional constrained graph variational autoencoders for molecule design." 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2020. 

9. [ESANN 2020, Code] A Systematic Assessment of Deep Learning Models for Molecule Generation. Davide Rigoni, Nicolò Navarin and Alessandro Sperduti. In European Symposium on Artificial Neural Networks (ESANN), 2020.

Thesis

[Master's Degree] Deep Learning Models for Graph Generation. Supervisors: Alessandro Sperduti and Nicolò Navarin.

[Bachelor's Degree] Metaweather: An analysis of weather websites. Supervisors: Massimo Marchiori.