Maurizio Filippone

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 81

Top Venues

Publications

Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
Robust Classification by Coupling Data Mollification with Label Smoothing. CoRR (2024)
Edwin V. Bonilla, Pantelis Elinas, He Zhao, Maurizio Filippone, Vassili Kitsios, Terry O'Kane
Variational DAG Estimation via State Augmentation With Stochastic Permutations. CoRR (2024)
Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR (2024)
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR (2024)
Jonas Wacker, Ruben Ohana, Maurizio Filippone
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel. AISTATS (2023)
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. NeurIPS (2023)
Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Continuous-Time Functional Diffusion Processes. CoRR (2023)
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Continuous-Time Functional Diffusion Processes. NeurIPS (2023)
Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
Multi-timestep models for Model-based Reinforcement Learning. CoRR (2023)
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. CoRR (2023)
Andrew Zammit Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie
Spatial Bayesian Neural Networks. CoRR (2023)
Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? CoRR (2023)
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. ICML (2023)
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. Entropy 25 (4) (2023)
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. CoRR (2023)
Bogdan L. Kozyrskiy, Dimitrios Milios, Maurizio Filippone
Imposing Functional Priors on Bayesian Neural Networks. ICPRAM (2023)
Jonas Wacker, Maurizio Filippone
Local Random Feature Approximations of the Gaussian Kernel. KES (2022)
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Revisiting the Effects of Stochasticity for Hamiltonian Samplers. ICML (2022)
Jonas Wacker, Motonobu Kanagawa, Maurizio Filippone
Improved Random Features for Dot Product Kernels. CoRR (2022)
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR (2022)
Bogdan L. Kozyrskiy, Dimitrios Milios, Maurizio Filippone
Variational Bootstrap for Classification. KES (2022)
Jonas Wacker, Maurizio Filippone
Local Random Feature Approximations of the Gaussian Kernel. CoRR (2022)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
All You Need is a Good Functional Prior for Bayesian Deep Learning. J. Mach. Learn. Res. 23 (2022)
Jonas Wacker, Ruben Ohana, Maurizio Filippone
Complex-to-Real Random Features for Polynomial Kernels. CoRR (2022)
Davit Gogolashvili, Bogdan L. Kozyrskiy, Maurizio Filippone
Locally Smoothed Gaussian Process Regression. CoRR (2022)
Davit Gogolashvili, Bogdan L. Kozyrskiy, Maurizio Filippone
Locally Smoothed Gaussian Process Regression. KES (2022)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Model Selection for Bayesian Autoencoders. CoRR (2021)
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. Entropy 23 (11) (2021)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Model Selection for Bayesian Autoencoders. NeurIPS (2021)
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
Sparse within Sparse Gaussian Processes using Neighbor Information. ICML (2021)
Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
A Unified View of Stochastic Hamiltonian Sampling. CoRR (2021)
Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi
Towards a generic deep learning pipeline for traffic measurements. StudentWorkshop@CoNEXT (2021)
Graziano Mita, Maurizio Filippone, Pietro Michiardi
An Identifiable Double VAE For Disentangled Representations. ICML (2021)
Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi
Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. ICMLA (2021)
Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations. AISTATS (2021)
Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling. CoRR (2020)
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
All You Need is a Good Functional Prior for Bayesian Deep Learning. CoRR (2020)
Simone Rossi, Sébastien Marmin, Maurizio Filippone
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. NeurIPS (2020)
Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations. CoRR (2020)
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
Sparse within Sparse Gaussian Processes using Neighbor Information. CoRR (2020)
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
LIBRE: Learning Interpretable Boolean Rule Ensembles. AISTATS (2020)
Rémi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
A comparative evaluation of novelty detection algorithms for discrete sequences. Artif. Intell. Rev. 53 (5) (2020)
Graziano Mita, Maurizio Filippone, Pietro Michiardi
Learning Optimal Conditional Priors For Disentangled Representations. CoRR (2020)
Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. ECML/PKDD (4) (2020)
Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. ICASSP (2020)
Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
A Variational View on Bootstrap Ensembles as Bayesian Inference. CoRR (2020)
Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage 190 (2019)
Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
Kernel computations from large-scale random features obtained by Optical Processing Units. CoRR (2019)
Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi
Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. CoRR (2019)
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Good Initializations of Variational Bayes for Deep Models. ICML (2019)
Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
Calibrating Deep Convolutional Gaussian Processes. AISTATS (2019)
Simone Rossi, Sébastien Marmin, Maurizio Filippone
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. CoRR (2019)
Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone, James Hensman
Pseudo-Extended Markov chain Monte Carlo. NeurIPS (2019)
Remi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
A comparative evaluation of novelty detection algorithms for discrete sequences. CoRR (2019)
Duc-Trung Nguyen, Maurizio Filippone, Pietro Michiardi
Exact gaussian process regression with distributed computations. SAC (2019)
Simone Rossi, Sébastien Marmin, Maurizio Filippone
Efficient Approximate Inference with Walsh-Hadamard Variational Inference. CoRR (2019)
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
LIBRE: Learning Interpretable Boolean Rule Ensembles. CoRR (2019)
Marco Lorenzi, Maurizio Filippone
Constraining the Dynamics of Deep Probabilistic Models. ICML (2018)
Mu Niu, Benn Macdonald, Simon Rogers, Maurizio Filippone, Dirk Husmeier
Statistical inference in mechanistic models: time warping for improved gradient matching. Comput. Stat. 33 (2) (2018)
Remi Domingues, Maurizio Filippone, Pietro Michiardi, Jihane Zouaoui
A comparative evaluation of outlier detection algorithms: Experiments and analyses. Pattern Recognit. 74 (2018)
Sébastien Marmin, Maurizio Filippone
Variational Calibration of Computer Models. CoRR (2018)
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS (2018)
Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR (2018)
Remi Domingues, Pietro Michiardi, Jihane Zouaoui, Maurizio Filippone
Deep Gaussian Process autoencoders for novelty detection. Mach. Learn. 107 (8-10) (2018)
Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
Calibrating Deep Convolutional Gaussian Processes. CoRR (2018)
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Good Initializations of Variational Bayes for Deep Models. CoRR (2018)
Paul de Kerret, David Gesbert, Maurizio Filippone
Team Deep Neural Networks for Interference Channels. ICC Workshops (2018)
Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. UAI (2017)
Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
Entropic Trace Estimates for Log Determinants. CoRR (2017)
Yufei Han, Maurizio Filippone
Mini-batch spectral clustering. IJCNN (2017)
Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone
Random Feature Expansions for Deep Gaussian Processes. ICML (2017)
Jack K. Fitzsimons, Kurt Cutajar, Michael A. Osborne, Stephen J. Roberts, Maurizio Filippone
Bayesian Inference of Log Determinants. CoRR (2017)
Paul de Kerret, David Gesbert, Maurizio Filippone
Decentralized Deep Scheduling for Interference Channels. CoRR (2017)
Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
Entropic Trace Estimates for Log Determinants. ECML/PKDD (1) (2017)
Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts
Bayesian Inference of Log Determinants. UAI (2017)
Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching. ICML (2016)
Umberto Noè, Weiwei Chen, Maurizio Filippone, Nicholas Hill, Dirk Husmeier
Inference in a Partial Differential Equations Model of Pulmonary Arterial and Venous Blood Circulation Using Statistical Emulation. CIBB (2016)
Yufei Han, Yun Shen, Maurizio Filippone
Mini-Batch Spectral Clustering. CoRR (2016)
Kurt Cutajar, Michael A. Osborne, John P. Cunningham, Maurizio Filippone
Preconditioning Kernel Matrices. ICML (2016)
Xiaoyu Xiong, Maurizio Filippone, Alessandro Vinciarelli
Looking Good With Flickr Faves: Gaussian Processes for Finding Difference Makers in Personality Impressions. ACM Multimedia (2016)
Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier
Parameter Inference in Differential Equation Models of Biopathways Using Time Warped Gradient Matching. CIBB (2016)
Matteo Dell'Amico, Maurizio Filippone, Pietro Michiardi, Yves Roudier
On User Availability Prediction and Network Applications. IEEE/ACM Trans. Netw. 23 (4) (2015)
Matteo Dell'Amico, Maurizio Filippone
Monte Carlo Strength Evaluation: Fast and Reliable Password Checking. CCS (2015)
Maurizio Filippone, Raphael Engler
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE). ICML (2015)
James Hensman, Alexander G. de G. Matthews, Maurizio Filippone, Zoubin Ghahramani
MCMC for Variationally Sparse Gaussian Processes. NIPS (2015)
Samuel Kim, Fabio Valente, Maurizio Filippone, Alessandro Vinciarelli
Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes. IEEE Trans. Affect. Comput. 5 (2) (2014)
Maurizio Filippone
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC. ICPR (2014)
Matteo Dell'Amico, Maurizio Filippone, Pietro Michiardi, Yves Roudier
On User Availability Prediction and Network Applications. CoRR (2014)
Maurizio Filippone, Mark A. Girolami
Pseudo-Marginal Bayesian Inference for Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 36 (11) (2014)
Andrew D. O'Harney, Andre Marquand, Katya Rubia, Kaylita Chantiluke, Anna B. Smith, Ana Cubillo, Camilla Blain, Maurizio Filippone
Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data. ICPR (2014)
Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 24 (1) (2013)
Maurizio Filippone, Mingjun Zhong, Mark A. Girolami
A comparative evaluation of stochastic-based inference methods for Gaussian process models. Mach. Learn. 93 (1) (2013)
Yin Zhao, Jongrae Kim, Maurizio Filippone
Aggregation Algorithm Towards Large-Scale Boolean Network Analysis. IEEE Trans. Autom. Control. 58 (8) (2013)
Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone
ODE parameter inference using adaptive gradient matching with Gaussian processes. AISTATS (2013)
Maurizio Filippone, Mark A. Girolami
Exact-Approximate Bayesian Inference for Gaussian Processes. CoRR (2013)
Matteo Campo, Anna Polychroniou, Hugues Salamin, Maurizio Filippone, Alessandro Vinciarelli
Towards Causal Modeling of Human Behavior. WIRN (2012)
Gelareh Mohammadi, Antonio Origlia, Maurizio Filippone, Alessandro Vinciarelli
From speech to personality: mapping voice quality and intonation into personality differences. ACM Multimedia (2012)
Samuel Kim, Maurizio Filippone, Fabio Valente, Alessandro Vinciarelli
Predicting the conflict level in television political debates: an approach based on crowdsourcing, nonverbal communication and gaussian processes. ACM Multimedia (2012)
Maurizio Filippone, Antonietta Mira, Mark A. Girolami
Discussion of the paper: "Sampling schemes for generalized linear Dirichlet process random effects models" by M. Kyung, J. Gill, and G. Casella. Stat. Methods Appl. 20 (3) (2011)
Maurizio Filippone, Guido Sanguinetti
A Perturbative Approach to Novelty Detection in Autoregressive Models. IEEE Trans. Signal Process. 59 (3) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maurizio Filippone