Maurizio Filippone

Maurizio Filippone

Eurecom

H-index: 31

Europe-France

About Maurizio Filippone

Maurizio Filippone, With an exceptional h-index of 31 and a recent h-index of 24 (since 2020), a distinguished researcher at Eurecom, specializes in the field of Bayesian Inference, Pattern Recognition, Computational Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning

Variational DAG Estimation via State Augmentation With Stochastic Permutations

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Spatial Bayesian neural networks

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

Continuous-time functional diffusion processes

Complex-to-real sketches for tensor products with applications to the polynomial kernel

How much is enough? a study on diffusion times in score-based generative models

Maurizio Filippone Information

University

Position

Associate Professor -

Citations(all)

4368

Citations(since 2020)

2532

Cited By

2833

hIndex(all)

31

hIndex(since 2020)

24

i10Index(all)

61

i10Index(since 2020)

46

Email

University Profile Page

Eurecom

Google Scholar

View Google Scholar Profile

Maurizio Filippone Skills & Research Interests

Bayesian Inference

Pattern Recognition

Computational Statistics

Top articles of Maurizio Filippone

Title

Journal

Author(s)

Publication Date

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning

arXiv preprint arXiv:2402.03146

Abdelhakim Benechehab

Albert Thomas

Giuseppe Paolo

Maurizio Filippone

Balázs Kégl

2024/2/5

Variational DAG Estimation via State Augmentation With Stochastic Permutations

arXiv preprint arXiv:2402.02644

Edwin V Bonilla

Pantelis Elinas

He Zhao

Maurizio Filippone

Vassili Kitsios

...

2024/2/4

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Theodore Papamarkou

Maria Skoularidou

Konstantina Palla

Laurence Aitchison

Julyan Arbel

...

2024/2

Spatial Bayesian neural networks

Andrew Zammit-Mangion

Michael D Kaminski

Ba-Hien Tran

Maurizio Filippone

Noel Cressie

2024/4/5

One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

Advances in Neural Information Processing Systems 37

Ba-Hien Tran

Giulio Franzese

Pietro Michiardi

Maurizio Filippone

2023/5/30

Continuous-time functional diffusion processes

arXiv preprint arXiv:2303.00800

Giulio Franzese

Simone Rossi

Dario Rossi

Markus Heinonen

Maurizio Filippone

...

2023/3/1

Complex-to-real sketches for tensor products with applications to the polynomial kernel

Jonas Wacker

Ruben Ohana

Maurizio Filippone

2023/4/11

How much is enough? a study on diffusion times in score-based generative models

Entropy

Giulio Franzese

Simone Rossi

Lixuan Yang

Alessandro Finamore

Dario Rossi

...

2023/4/7

When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

arXiv preprint arXiv:2303.04020

Davit Gogolashvili

Matteo Zecchin

Motonobu Kanagawa

Marios Kountouris

Maurizio Filippone

2023/3/7

Multi-timestep models for Model-based Reinforcement Learning

arXiv preprint arXiv:2310.05672

Abdelhakim Benechehab

Giuseppe Paolo

Albert Thomas

Maurizio Filippone

Balázs Kégl

2023/10/9

Imposing Functional Priors on Bayesian Neural Networks.

Bogdan L Kozyrskiy

Dimitrios Milios

Maurizio Filippone

2023/2/22

Improving Training of Likelihood-based Generative Models with Gaussian Homotopy

Ba-Hien Tran

Giulio Franzese

Pietro Michiardi

Maurizio Filippone

2023/7/23

Fully Bayesian autoencoders with latent sparse Gaussian processes

Ba-Hien Tran

Babak Shahbaba

Stephan Mandt

Maurizio Filippone

2023/7/3

Improved random features for dot product kernels

arXiv preprint arXiv:2201.08712

Jonas Wacker

Motonobu Kanagawa

Maurizio Filippone

2022/1/21

Deep compositional spatial models

Journal of the American Statistical Association

Andrew Zammit-Mangion

Tin Lok James Ng

Quan Vu

Maurizio Filippone

2022/10/2

Variational Bootstrap for Classification

Procedia Computer Science

Bogdan Kozyrskiy

Dimitrios Milios

Maurizio Filippone

2022/1/1

A New Look on Diffusion Times for Score-based Generative Models

Giulio Franzese

Simone Rossi

Lixuan Yang

Alessandro Finamore

Dario Rossi

...

2022/7/23

Locally Smoothed Gaussian Process Regression

Procedia Computer Science

Davit Gogolashvili

Bogdan Kozyrskiy

Maurizio Filippone

2022/1/1

Revisiting the effects of stochasticity for Hamiltonian samplers

Giulio Franzese

Dimitrios Milios

Maurizio Filippone

Pietro Michiardi

2022/6/28

All you need is a good functional prior for Bayesian deep learning

Journal of Machine Learning Research

Ba-Hien Tran

Simone Rossi

Dimitrios Milios

Maurizio Filippone

2022

See List of Professors in Maurizio Filippone University(Eurecom)

Co-Authors

H-index: 124
Zoubin Ghahramani

Zoubin Ghahramani

University of Cambridge

H-index: 74
Mark Girolami

Mark Girolami

University of Cambridge

H-index: 56
Andre F Marquand

Andre F Marquand

King's College London

H-index: 49
John Cunningham

John Cunningham

Columbia University in the City of New York

H-index: 46
Alessandro Vinciarelli

Alessandro Vinciarelli

University of Glasgow

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