Michiardi, Pietro

23 publications

ICLRW 2025 INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators Alberto Foresti, Giulio Franzese, Pietro Michiardi

ICLR 2025 Information Theoretic Text-to-Image Alignment Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi

ICML 2025 Learning to Match Unpaired Data with Minimum Entropy Coupling Mustapha Bounoua, Giulio Franzese, Pietro Michiardi

ICLRW 2025 RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment Chao Wang, Giulio Franzese, Alessandro Finamore, Pietro Michiardi

ICMLW 2024 DiMViS: Diffusion-Based Multi-View Synthesis Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla Fabiana Chiasserini, Pietro Michiardi

ICLR 2024 MINDE: Mutual Information Neural Diffusion Estimation Giulio Franzese, Mustapha Bounoua, Pietro Michiardi

ICML 2024 S$Ω$I: Score-Based O-INFORMATION Estimation Mustapha Bounoua, Giulio Franzese, Pietro Michiardi

NeurIPS 2023 Continuous-Time Functional Diffusion Processes Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

ICMLW 2023 Improving Training of Likelihood-Based Generative Models with Gaussian Homotopy Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

NeurIPS 2023 One-Line-of-Code Data Mollification Improves Optimization of Likelihood-Based Generative Models Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

ICML 2022 Revisiting the Effects of Stochasticity for Hamiltonian Samplers Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi

ICLRW 2022 Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning Ugo Lecerf, Christelle Yemdji-Tchassi, Pietro Michiardi

ICML 2021 An Identifiable Double VAE for Disentangled Representations Graziano Mita, Maurizio Filippone, Pietro Michiardi

AAAI 2021 Maximum Roaming Multi-Task Learning Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga

NeurIPS 2021 Model Selection for Bayesian Autoencoders Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone

ICML 2021 Sparse Within Sparse Gaussian Processes Using Neighbor Information Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone

AISTATS 2020 LIBRE: Learning Interpretable Boolean Rule Ensembles Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi

ECML-PKDD 2020 Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga

AISTATS 2019 Calibrating Deep Convolutional Gaussian Processes Gia-Lac Tran, Edwin V. Bonilla, John Cunningham, Pietro Michiardi, Maurizio Filippone

ICML 2019 Good Initializations of Variational Bayes for Deep Models Simone Rossi, Pietro Michiardi, Maurizio Filippone

MLJ 2018 Deep Gaussian Process Autoencoders for Novelty Detection Remi Domingues, Pietro Michiardi, Jihane Zouaoui, Maurizio Filippone

NeurIPS 2018 Dirichlet-Based Gaussian Processes for Large-Scale Calibrated Classification Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone

ICML 2017 Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone