Maurizio Filippone

139 papers A* 23A 9B 9C 2Misc 2Journal 75Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. ICML Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. CoRR Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation. CoRR Abdelhakim Benechehab, Gabriel Singer, Corentin Léger, Youssef Attia El Hili, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	GANs Secretly Perform Approximate Bayesian Model Selection. CoRR Maurizio Filippone, Marius P. Linhard
2025	J	`jnl`	Gaussian Processes with Bayesian Inference of Covariate Couplings. Trans. Mach. Learn. Res. Mattia Rosso, Juho Ylä-Jääski, Zheyang Shen, Markus Heinonen, Maurizio Filippone
2025	J	`jnl`	Optimizing Data Augmentation through Bayesian Model Selection. CoRR Madi Matymov, Ba-Hien Tran, Michael Kampffmeyer, Markus Heinonen, Maurizio Filippone
2025	A	`conf`	Robust Classification by Coupling Data Mollification with Label Smoothing. AISTATS Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
2025	J	`jnl`	Scaling Laws for Uncertainty in Deep Learning. CoRR Mattia Rosso, Simone Rossi, Giulio Franzese, Markus Heinonen, Maurizio Filippone
2025	J	`jnl`	TENDE: Transfer Entropy Neural Diffusion Estimation. CoRR Simon Pedro Galeano Munoz, Mustapha Bounoua, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
2025	A	`conf`	Unconditionally Calibrated Priors for Beta Mixture Density Networks. AISTATS Alix Lhéritier, Maurizio Filippone
2025	J	`jnl`	Universal Adaptive Environment Discovery. CoRR Madi Matymov, Ba-Hien Tran, Maurizio Filippone
2025	B	`conf`	Variational Inference for Quantum HyperNetworks. IJCNN Luca Nepote, Alix Lhéritier, Nicolas Bondoux, Marios Kountouris, Maurizio Filippone
2025	J	`jnl`	Variational Inference for Quantum HyperNetworks. CoRR Luca Nepote, Alix Lhéritier, Nicolas Bondoux, Marios Kountouris, Maurizio Filippone
2025	A*	`conf`	Zero-shot Model-based Reinforcement Learning using Large Language Models. ICLR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2024	J	`jnl`	A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
2024	J	`jnl`	Improved Random Features for Dot Product Kernels. J. Mach. Learn. Res. Jonas Wacker, Motonobu Kanagawa, Maurizio Filippone
2024	J	`jnl`	Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR 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
2024	A*	`conf`	Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. ICML 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
2024	J	`jnl`	Robust Classification by Coupling Data Mollification with Label Smoothing. CoRR Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
2024	J	`jnl`	Variational DAG Estimation via State Augmentation With Stochastic Permutations. CoRR Edwin V. Bonilla, Pantelis Elinas, He Zhao, Maurizio Filippone, Vassili Kitsios, Terry O'Kane
2024	J	`jnl`	Zero-shot Model-based Reinforcement Learning using Large Language Models. CoRR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2023	A	`conf`	Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel. AISTATS Jonas Wacker, Ruben Ohana, Maurizio Filippone
2023	A*	`conf`	Continuous-Time Functional Diffusion Processes. NeurIPS Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
2023	J	`jnl`	Continuous-Time Functional Diffusion Processes. CoRR Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
2023	A*	`conf`	Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. ICML Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
2023	J	`jnl`	Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes. CoRR Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
2023	J	`jnl`	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, Maurizio Filippone, Pietro Michiardi
2023	C	`conf`	Imposing Functional Priors on Bayesian Neural Networks. ICPRAM Bogdan L. Kozyrskiy, Dimitrios Milios, Maurizio Filippone
2023	J	`jnl`	Multi-timestep models for Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2023	A*	`conf`	One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. NeurIPS Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
2023	J	`jnl`	One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models. CoRR Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
2023	J	`jnl`	Spatial Bayesian Neural Networks. CoRR Andrew Zammit-Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie
2023	J	`jnl`	When is Importance Weighting Correction Needed for Covariate Shift Adaptation? CoRR Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone
2022	J	`jnl`	All You Need is a Good Functional Prior for Bayesian Deep Learning. J. Mach. Learn. Res. Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
2022	J	`jnl`	Complex-to-Real Random Features for Polynomial Kernels. CoRR Jonas Wacker, Ruben Ohana, Maurizio Filippone
2022	J	`jnl`	How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
2022	J	`jnl`	Improved Random Features for Dot Product Kernels. CoRR Jonas Wacker, Motonobu Kanagawa, Maurizio Filippone
2022	B	`conf`	Local Random Feature Approximations of the Gaussian Kernel. KES Jonas Wacker, Maurizio Filippone
2022	J	`jnl`	Local Random Feature Approximations of the Gaussian Kernel. CoRR Jonas Wacker, Maurizio Filippone
2022	B	`conf`	Locally Smoothed Gaussian Process Regression. KES Davit Gogolashvili, Bogdan L. Kozyrskiy, Maurizio Filippone
2022	J	`jnl`	Locally Smoothed Gaussian Process Regression. CoRR Davit Gogolashvili, Bogdan L. Kozyrskiy, Maurizio Filippone
2022	A*	`conf`	Revisiting the Effects of Stochasticity for Hamiltonian Samplers. ICML Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
2022	B	`conf`	Variational Bootstrap for Classification. KES Bogdan L. Kozyrskiy, Dimitrios Milios, Maurizio Filippone
2021	J	`jnl`	A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. Entropy Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
2021	J	`jnl`	A Unified View of Stochastic Hamiltonian Sampling. CoRR Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
2021	A*	`conf`	An Identifiable Double VAE For Disentangled Representations. ICML Graziano Mita, Maurizio Filippone, Pietro Michiardi
2021	A*	`conf`	Model Selection for Bayesian Autoencoders. NeurIPS Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
2021	J	`jnl`	Model Selection for Bayesian Autoencoders. CoRR Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
2021	C	`conf`	Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation. ICMLA Matthieu Da Silva-Filarder, Andrea Ancora, Maurizio Filippone, Pietro Michiardi
2021	A	`conf`	Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations. AISTATS Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
2021	A*	`conf`	Sparse within Sparse Gaussian Processes using Neighbor Information. ICML Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
2021	—	`conf`	Towards a generic deep learning pipeline for traffic measurements. StudentWorkshop@CoNEXT Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi
2020	J	`jnl`	A Variational View on Bootstrap Ensembles as Bayesian Inference. CoRR Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
2020	J	`jnl`	A comparative evaluation of novelty detection algorithms for discrete sequences. Artif. Intell. Rev. Rémi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
2020	J	`jnl`	All You Need is a Good Functional Prior for Bayesian Deep Learning. CoRR Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
2020	J	`jnl`	Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling. CoRR Giulio Franzese, Rosa Candela, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
2020	Misc	`conf`	Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. ICASSP Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
2020	A	`conf`	LIBRE: Learning Interpretable Boolean Rule Ensembles. AISTATS Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
2020	J	`jnl`	Learning Optimal Conditional Priors For Disentangled Representations. CoRR Graziano Mita, Maurizio Filippone, Pietro Michiardi
2020	—	`conf`	Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. ECML/PKDD (4) Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
2020	J	`jnl`	Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations. CoRR Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
2020	J	`jnl`	Sparse within Sparse Gaussian Processes using Neighbor Information. CoRR Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
2020	A*	`conf`	Walsh-Hadamard Variational Inference for Bayesian Deep Learning. NeurIPS Simone Rossi, Sébastien Marmin, Maurizio Filippone
2019	J	`jnl`	A comparative evaluation of novelty detection algorithms for discrete sequences. CoRR Remi Domingues, Pietro Michiardi, Jérémie Barlet, Maurizio Filippone
2019	A	`conf`	Calibrating Deep Convolutional Gaussian Processes. AISTATS Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
2019	J	`jnl`	Efficient Approximate Inference with Walsh-Hadamard Variational Inference. CoRR Simone Rossi, Sébastien Marmin, Maurizio Filippone
2019	Misc	`conf`	Exact gaussian process regression with distributed computations. SAC Duc-Trung Nguyen, Maurizio Filippone, Pietro Michiardi
2019	A*	`conf`	Good Initializations of Variational Bayes for Deep Models. ICML Simone Rossi, Pietro Michiardi, Maurizio Filippone
2019	J	`jnl`	Kernel computations from large-scale random features obtained by Optical Processing Units. CoRR Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet
2019	J	`jnl`	LIBRE: Learning Interpretable Boolean Rule Ensembles. CoRR Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
2019	J	`jnl`	Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin
2019	A*	`conf`	Pseudo-Extended Markov chain Monte Carlo. NeurIPS Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone, James Hensman
2019	J	`jnl`	Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. CoRR Rosa Candela, Giulio Franzese, Maurizio Filippone, Pietro Michiardi
2019	J	`jnl`	Walsh-Hadamard Variational Inference for Bayesian Deep Learning. CoRR Simone Rossi, Sébastien Marmin, Maurizio Filippone
2018	J	`jnl`	A comparative evaluation of outlier detection algorithms: Experiments and analyses. Pattern Recognit. Remi Domingues, Maurizio Filippone, Pietro Michiardi, Jihane Zouaoui
2018	J	`jnl`	Calibrating Deep Convolutional Gaussian Processes. CoRR Gia-Lac Tran, Edwin V. Bonilla, John P. Cunningham, Pietro Michiardi, Maurizio Filippone
2018	A*	`conf`	Constraining the Dynamics of Deep Probabilistic Models. ICML Marco Lorenzi, Maurizio Filippone
2018	J	`jnl`	Deep Gaussian Process autoencoders for novelty detection. Mach. Learn. Remi Domingues, Pietro Michiardi, Jihane Zouaoui, Maurizio Filippone
2018	A*	`conf`	Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. NeurIPS Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
2018	J	`jnl`	Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. CoRR Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
2018	J	`jnl`	Good Initializations of Variational Bayes for Deep Models. CoRR Simone Rossi, Pietro Michiardi, Maurizio Filippone
2018	J	`jnl`	Statistical inference in mechanistic models: time warping for improved gradient matching. Comput. Stat. Mu Niu, Benn Macdonald, Simon Rogers, Maurizio Filippone, Dirk Husmeier
2018	—	`conf`	Team Deep Neural Networks for Interference Channels. ICC Workshops Paul de Kerret, David Gesbert, Maurizio Filippone
2018	J	`jnl`	Variational Calibration of Computer Models. CoRR Sébastien Marmin, Maurizio Filippone
2017	A	`conf`	AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. UAI Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone
2017	A	`conf`	Bayesian Inference of Log Determinants. UAI Jack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts
2017	J	`jnl`	Bayesian Inference of Log Determinants. CoRR Jack K. Fitzsimons, Kurt Cutajar, Michael A. Osborne, Stephen J. Roberts, Maurizio Filippone
2017	J	`jnl`	Decentralized Deep Scheduling for Interference Channels. CoRR Paul de Kerret, David Gesbert, Maurizio Filippone
2017	—	`conf`	Entropic Trace Estimates for Log Determinants. ECML/PKDD (1) Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
2017	J	`jnl`	Entropic Trace Estimates for Log Determinants. CoRR Jack K. Fitzsimons, Diego Granziol, Kurt Cutajar, Michael A. Osborne, Maurizio Filippone, Stephen J. Roberts
2017	B	`conf`	Mini-batch spectral clustering. IJCNN Yufei Han, Maurizio Filippone
2017	A*	`conf`	Random Feature Expansions for Deep Gaussian Processes. ICML Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi, Maurizio Filippone
2016	A*	`conf`	Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching. ICML Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier
2016	—	`conf`	Inference in a Partial Differential Equations Model of Pulmonary Arterial and Venous Blood Circulation Using Statistical Emulation. CIBB Umberto Noè, Weiwei Chen, Maurizio Filippone, Nicholas Hill, Dirk Husmeier
2016	A*	`conf`	Looking Good With Flickr Faves: Gaussian Processes for Finding Difference Makers in Personality Impressions. ACM Multimedia Xiaoyu Xiong, Maurizio Filippone, Alessandro Vinciarelli
2016	J	`jnl`	Mini-Batch Spectral Clustering. CoRR Yufei Han, Yun Shen, Maurizio Filippone
2016	—	`conf`	Parameter Inference in Differential Equation Models of Biopathways Using Time Warped Gradient Matching. CIBB Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier
2016	A*	`conf`	Preconditioning Kernel Matrices. ICML Kurt Cutajar, Michael A. Osborne, John P. Cunningham, Maurizio Filippone
2015	A*	`conf`	Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE). ICML Maurizio Filippone, Raphael Engler
2015	—	`conf`	MCMC for Variationally Sparse Gaussian Processes. NIPS James Hensman, Alexander G. de G. Matthews, Maurizio Filippone, Zoubin Ghahramani
2015	A*	`conf`	Monte Carlo Strength Evaluation: Fast and Reliable Password Checking. CCS Matteo Dell'Amico, Maurizio Filippone
2015	J	`jnl`	On User Availability Prediction and Network Applications. IEEE/ACM Trans. Netw. Matteo Dell'Amico, Maurizio Filippone, Pietro Michiardi, Yves Roudier
2014	B	`conf`	Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC. ICPR Maurizio Filippone
2014	J	`jnl`	On User Availability Prediction and Network Applications. CoRR Matteo Dell'Amico, Maurizio Filippone, Pietro Michiardi, Yves Roudier
2014	J	`jnl`	Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes. IEEE Trans. Affect. Comput. Samuel Kim, Fabio Valente, Maurizio Filippone, Alessandro Vinciarelli
2014	J	`jnl`	Pseudo-Marginal Bayesian Inference for Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. Maurizio Filippone, Mark A. Girolami
2014	B	`conf`	Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data. ICPR Andrew D. O'Harney, Andre F. Marquand, Katya Rubia, Kaylita Chantiluke, Anna B. Smith, Ana Cubillo, Camilla Blain, Maurizio Filippone
2013	J	`jnl`	A comparative evaluation of stochastic-based inference methods for Gaussian process models. Mach. Learn. Maurizio Filippone, Mingjun Zhong, Mark A. Girolami
2013	J	`jnl`	Aggregation Algorithm Towards Large-Scale Boolean Network Analysis. IEEE Trans. Autom. Control. Yin Zhao, Jongrae Kim, Maurizio Filippone
2013	J	`jnl`	Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 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
2013	J	`jnl`	Exact-Approximate Bayesian Inference for Gaussian Processes. CoRR Maurizio Filippone, Mark A. Girolami
2013	A	`conf`	ODE parameter inference using adaptive gradient matching with Gaussian processes. AISTATS Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone
2012	A*	`conf`	From speech to personality: mapping voice quality and intonation into personality differences. ACM Multimedia Gelareh Mohammadi, Antonio Origlia, Maurizio Filippone, Alessandro Vinciarelli
2012	A*	`conf`	Predicting the conflict level in television political debates: an approach based on crowdsourcing, nonverbal communication and gaussian processes. ACM Multimedia Samuel Kim, Maurizio Filippone, Fabio Valente, Alessandro Vinciarelli
2012	—	`conf`	Towards Causal Modeling of Human Behavior. WIRN Matteo Campo, Anna Polychroniou, Hugues Salamin, Maurizio Filippone, Alessandro Vinciarelli
2011	J	`jnl`	A Perturbative Approach to Novelty Detection in Autoregressive Models. IEEE Trans. Signal Process. Maurizio Filippone, Guido Sanguinetti
2011	J	`jnl`	Approximate inference of the bandwidth in multivariate kernel density estimation. Comput. Stat. Data Anal. Maurizio Filippone, Guido Sanguinetti
2011	J	`jnl`	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. Maurizio Filippone, Antonietta Mira, Mark A. Girolami
2011	J	`jnl`	Simulated annealing for supervised gene selection. Soft Comput. Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2010	J	`jnl`	Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces. IEEE Trans. Fuzzy Syst. Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2010	J	`jnl`	Information theoretic novelty detection. Pattern Recognit. Maurizio Filippone, Guido Sanguinetti
2009	J	`jnl`	A comparative evaluation of nonlinear dynamics methods for time series prediction. Neural Comput. Appl. Francesco Camastra, Maurizio Filippone
2009	J	`jnl`	Clustering in the membership embedding space. Int. J. Knowl. Eng. Soft Data Paradigms Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2009	J	`jnl`	Dealing with non-metric dissimilarities in fuzzy central clustering algorithms. Int. J. Approx. Reason. Maurizio Filippone
2009	J	`jnl`	Soft ranking in clustering. Neurocomputing Stefano Rovetta, Francesco Masulli, Maurizio Filippone
2009	—	`conf`	The discriminating power of random features. WIRN Stefano Rovetta, Francesco Masulli, Maurizio Filippone
2008	J	`jnl`	A survey of kernel and spectral methods for clustering. Pattern Recognit. Maurizio Filippone, Francesco Camastra, Francesco Masulli, Stefano Rovetta
2008	—	`conf`	An Experimental Comparison of Kernel Clustering Methods. WIRN Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2008	—	`conf`	Detecting Suspicious Behavior in Surveillance Images. ICDM Workshops Daniel Barbará, Carlotta Domeniconi, Zoran Duric, Maurizio Filippone, Richard Mansfield, Edgard Lawson
2008	—	`conf`	Stability and Performances in Biclustering Algorithms. CIBB Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2007	B	`conf`	Local Learning of Tide Level Time Series using a Fuzzy Approach. IJCNN Elio Canestrelli, P. Canestrelli, Marco Corazza, Maurizio Filippone, Silvio Giove, Francesco Masulli
2007	—	`conf`	Membership Embedding Space Approach and Spectral Clustering. KES (3) Stefano Rovetta, Francesco Masulli, Maurizio Filippone
2007	—	`conf`	Possibilistic Clustering in Feature Space. WILF Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2007	—	`conf`	SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. KES (3) Francesco Camastra, Maurizio Filippone
2006	—	`conf`	Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis. CMSB Maurizio Filippone, Francesco Masulli, Stefano Rovetta, Sushmita Mitra, Haider Banka
2006	B	`conf`	Supervised Classification and Gene Selection Using Simulated Annealing. IJCNN Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2005	—	`conf`	Soft Rank Clustering. WIRN/NAIS Stefano Rovetta, Francesco Masulli, Maurizio Filippone
2005	—	`conf`	Unsupervised Gene Selection and Clustering Using Simulated Annealing. WILF Maurizio Filippone, Francesco Masulli, Stefano Rovetta
2004	—	`conf`	ERAF: A R Package for Regression and Forecasting. WIRN Maurizio Filippone, Francesco Masulli, Stefano Rovetta