Jorge da Silva Goncalves

According to our database, Jorge da Silva Goncalves authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion.

Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt

CoRR, March, 2026

You Only Train Once: Differentiable Subset Selection for Omics Data.

Daphné Chopard, Jorge da Silva Goncalves, Irene Cannistraci, Thomas M. Sutter, Julia E. Vogt

Trans. Mach. Learn. Res., 2026

2025

TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion.

Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Hierarchical Clustering for Conditional Diffusion in Image Generation.

Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt

CoRR, 2024

Structured Generations: Using Hierarchical Clusters to guide Diffusion Models.

Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt

CoRR, 2024