Emanuele Palumbo

According to our database, Emanuele Palumbo authored at least 4 papers between 2022 and 2023.

Collaborative distances:

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

2023

Effective Bayesian Heteroscedastic Regression with Deep Neural Networks.

Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia E. Vogt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises.

Emanuele Palumbo, Imant Daunhawer, Julia E. Vogt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identifiability Results for Multimodal Contrastive Learning.

Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On the Limitations of Multimodal VAEs.

Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt

Proceedings of the Tenth International Conference on Learning Representations, 2022