Palumbo, Emanuele

10 publications

ICML 2025 From Logits to Hierarchies: Hierarchical Clustering Made Simple Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E Vogt

ICLR 2024 Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E Vogt

ICMLW 2023 Deep Generative Clustering with Multimodal Variational Autoencoders Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt

ICMLW 2023 Deep Generative Clustering with Multimodal Variational Autoencoders Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt

NeurIPS 2023 Effective Bayesian Heteroscedastic Regression with Deep Neural Networks Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia Vogt

ICLR 2023 Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E Vogt

ICLR 2023 MMVAE+: Enhancing the Generative Quality of Multimodal VAEs Without Compromises Emanuele Palumbo, Imant Daunhawer, Julia E Vogt

ICLRW 2022 MMVAE+: Enhancing the Generative Quality of Multimodal VAEs Without Compromises Emanuele Palumbo, Imant Daunhawer, Julia E Vogt

ICLR 2022 On the Limitations of Multimodal VAEs Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E Vogt

NeurIPSW 2021 On the Limitations of Multimodal VAEs Imant Daunhawer, Thomas M. Sutter, Kieran Chin-Cheong, Emanuele Palumbo, Julia E Vogt