Maurizio Filippone

Identifiers

• name variant Maurizio Filippone 0.60 · backfill

Papers (24)

1. DIPHINE: Diffusion-based $\Phi$-ID Neural Estimator cs.LG · 2026 · author #5
2. Position: agentic AI orchestration should be Bayes-consistent cs.AI · 2026 · author #7
3. TENDE: Transfer Entropy Neural Diffusion Estimation cs.LG · 2025 · author #5
4. Variational Calibration of Computer Models stat.ML · 2018 · author #2
5. Good Initializations of Variational Bayes for Deep Models stat.ML · 2018 · author #3
6. Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification cs.LG · 2018 · author #5
7. Calibrating Deep Convolutional Gaussian Processes stat.ML · 2018 · author #5
8. Constraining the Dynamics of Deep Probabilistic Models stat.ML · 2018 · author #2
9. Assessing Bayesian Nonparametric Log-Linear Models: an application to Disclosure Risk estimation stat.ME · 2018 · author #2
10. Decentralized Deep Scheduling for Interference Channels cs.IT · 2017 · author #3
11. Entropic Trace Estimates for Log Determinants cs.NA · 2017 · author #5
12. Bayesian Inference of Log Determinants stat.ML · 2017 · author #5
13. Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation stat.AP · 2017 · author #2
14. AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models stat.ML · 2016 · author #4
15. Random Feature Expansions for Deep Gaussian Processes stat.ML · 2016 · author #4
16. Mini-Batch Spectral Clustering stat.ML · 2016 · author #2
17. Preconditioning Kernel Matrices stat.ML · 2016 · author #4
18. Adaptive Multiple Importance Sampling for Gaussian Processes stat.CO · 2015 · author #3
19. MCMC for Variationally Sparse Gaussian Processes stat.ML · 2015 · author #3
20. Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) stat.ME · 2015 · author #1
21. On User Availability Prediction and Network Applications cs.DC · 2014 · author #2
22. Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC stat.ME · 2013 · author #1
23. Pseudo-Marginal Bayesian Inference for Gaussian Processes stat.ML · 2013 · author #1
24. Bayesian nonparametric disclosure risk estimation via mixed effects log-linear models stat.AP · 2013 · author #2

Mentions

• 2606.18997 #5 · arxiv_oai · confidence 0.70 Maurizio Filippone
• 1704.07223 #5 · arxiv_oai · confidence 0.70 Maurizio Filippone
• 1704.01445 #5 · arxiv_oai · confidence 0.70 Maurizio Filippone
• 1508.01050 #3 · backfill · confidence 0.70 Maurizio Filippone
• 1506.04000 #3 · backfill · confidence 0.70 Maurizio Filippone
• 1501.05427 #1 · backfill · confidence 0.70 Maurizio Filippone
• 1404.7688 #2 · backfill · confidence 0.70 Maurizio Filippone
• 1311.7320 #1 · backfill · confidence 0.70 Maurizio Filippone
• 1310.0740 #1 · backfill · confidence 0.70 Maurizio Filippone
• 1306.5995 #2 · backfill · confidence 0.70 Maurizio Filippone

Frequent Coauthors

• Pietro Michiardi 7 shared papers
• Kurt Cutajar 5 shared papers
• Edwin V. Bonilla 3 shared papers
• Cinzia Carota 2 shared papers
• Giulio Franzese 2 shared papers
• Jack Fitzsimons 2 shared papers
• John P. Cunningham 2 shared papers
• Marco Lorenzi 2 shared papers
• Michael Osborne 2 shared papers
• Mustapha Bounoua 2 shared papers
• Silvia Polettini 2 shared papers
• Simon Pedro Galeano Munoz 2 shared papers
• Stephen Roberts 2 shared papers
• Alexander G. de G. Matthews 1 shared papers
• Alexey Zaytsev 1 shared papers
• Andrew Davison 1 shared papers
• Andrew Gordon Wilson 1 shared papers
• Andrew Y. K. Foong 1 shared papers
• Artem Shelmanov 1 shared papers
• Clare Lyle 1 shared papers