Pietro Michiardi
16 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
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(11)
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Conferences
ICML (7)
NIPS (4)
AISTATS (2)
ICLR (2)
AAAI (1)
Top co-authors
Keywords
variational inference
(4)
gaussian process
(3)
variational autoencoder
(3)
uncertainty quantification
(3)
image generation
(1)
model selection
(1)
image classification
(1)
bayesian inference
(1)
multi-task learning
(1)
ensemble learning
(1)
model calibration
(1)
rule-based learning
(1)
deep learning
(1)
parameter sharing
(1)
sparse approximation
(1)
semi-supervised learning
(1)
posterior estimation
(1)
functional analysis
(1)
hamiltonian monte carlo
(1)
representation learning
(1)
Papers
Learning to Match Unpaired Data with Minimum Entropy Coupling
ICML 2025
Information Theoretic Text-to-Image Alignment
ICLR 2025
MINDE: Mutual Information Neural Diffusion Estimation
ICLR 2024
S$Ω$I: Score-based O-INFORMATION Estimation
ICML 2024
Continuous-Time Functional Diffusion Processes
NIPS 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
NIPS 2023
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
ICML 2022
Model Selection for Bayesian Autoencoders
NIPS 2021
Maximum Roaming Multi-Task Learning
AAAI 2021
An Identifiable Double VAE For Disentangled Representations
ICML 2021
Sparse within Sparse Gaussian Processes using Neighbor Information
ICML 2021
LIBRE: Learning Interpretable Boolean Rule Ensembles
AISTATS 2020
Calibrating Deep Convolutional Gaussian Processes
AISTATS 2019
Good Initializations of Variational Bayes for Deep Models
ICML 2019
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
NIPS 2018
Random Feature Expansions for Deep Gaussian Processes
ICML 2017