| On the limitations of multimodal vaes I Daunhawer, TM Sutter, K Chin-Cheong, E Palumbo, JE Vogt arXiv preprint arXiv:2110.04121, 2021 | 40 | 2021 |
| Identifiability results for multimodal contrastive learning I Daunhawer, A Bizeul, E Palumbo, A Marx, JE Vogt arXiv preprint arXiv:2303.09166, 2023 | 37 | 2023 |
| MMVAE+: Enhancing the generative quality of multimodal VAEs without compromises E Palumbo, I Daunhawer, JE Vogt The Eleventh International Conference on Learning Representations, 2023 | 28 | 2023 |
| Effective Bayesian heteroscedastic regression with deep neural networks A Immer, E Palumbo, A Marx, J Vogt Advances in Neural Information Processing Systems 36, 53996-54019, 2023 | 11 | 2023 |
| Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders E Palumbo, L Manduchi, S Laguna, D Chopard, JE Vogt The Twelfth International Conference on Learning Representations, 2024 | 4* | 2024 |
| Therapeutic stays of belarusian children in Italy: evaluation of their mental status, psychological consequences and physical health status. P Ferrara, G Pianese, G Franceschini, E Palumbo, A Ianni, G Ghilardi Minerva pediatrics 74 (2), 188-194, 2021 | 2 | 2021 |
| From Logits to Hierarchies: Hierarchical Clustering made Simple E Palumbo, M Vandenhirtz, A Ryser, I Daunhawer, JE Vogt arXiv preprint arXiv:2410.07858, 2024 | | 2024 |
| 3DIdentBox: A Toolbox for Identifiability Benchmarking A Bizeul, I Daunhawer, E Palumbo, B Schölkopf, A Marx, JE Vogt 2nd Conference on Causal Learning and Reasoning (CLeaR 2023), 2023 | | 2023 |