Publications

Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E. Vogt (2024). Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders. ICLR 2024.
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* Alexander Immer *, Emanuele Palumbo, † Alexander Marx, † Julia E Vogt (2023). Efficient Bayesian Heteroscedastic Regression with Deep Neural Networks. NeurIPS 2023.
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Alice Bizeul, Imant Daunhawer, Emanuele Palumbo, Bernhard Schölkopf, Alexander Marx, Julia E. Vogt (2023). 3DIdentBox: A Toolbox for Identifiability Benchmarking. CleaR (Dataset Track) 2023.
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Emanuele Palumbo, Imant Daunhawer, Julia E. Vogt (2023). MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises. ICLR 2023.
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Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt (2023). Identifiability Results for Multimodal Contrastive Learning. ICLR 2023.
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Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt (2022). On the Limitations of Multimodal VAEs. ICLR 2022.
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Pietro Ferrara, Gaia Pianese, Giulia Franceschini, Emanuele Palumbo, Andrea Ianni, Giampaolo Ghilardi (2021). Therapeutic stays of Belarusian children in Italy: evaluation of their mental status, psychological consequences and physical health status. Minerva Pediatrics.