Sonia Laguna, Jorge da Silva Gonçalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt (2026). Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion. In ICLR 2026 Workshop on Trustworthy Machine Unlearning (TTU), Oral.
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Daphné Chopard, Jorge da Silva Gonçalves, Irene Cannistraci, Thomas Sutter, Julia E. Vogt (2026). You Only Train Once: Differentiable Subset Selection for Omics Data. In Transactions on Machine Learning Research.
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Jorge da Silva Gonçalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt (2025). TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion. In Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2025.
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Jorge da Silva Gonçalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt (2024). Structured Generations: Using Hierarchical Clusters to guide Diffusion Models. In ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling.
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