Emanuele Palumbo

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Dirichlet Process Mixture Models

Quality Measures

Multimodal Information

Sparse Bayesian Learning

Top Venues

Publications

Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E. Vogt
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders. ICLR (2024)
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Identifiability Results for Multimodal Contrastive Learning. ICLR (2023)
Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks. NeurIPS (2023)
Emanuele Palumbo, Imant Daunhawer, Julia E. Vogt
MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises. ICLR (2023)
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E. Vogt
Identifiability Results for Multimodal Contrastive Learning. CoRR (2023)
Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt
On the Limitations of Multimodal VAEs. ICLR (2022)
Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E. Vogt
On the Limitations of Multimodal VAEs. CoRR (2021)