Maurizio Filippone

Author Info

Name	Affiliation	Papers
MAURIZIO FILIPPONE	Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, Via Dodecaneso, 35, I -16146 Genova, Italy	61
Collaborators	Citations	PageRank
94	618	39.58
Referers	Referees	References
1564	1170	638

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Publications (61 rows)

Collaborators (94 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Revisiting the Effects of Stochasticity for Hamiltonian Samplers.	0	0.34	2022
Sparse within Sparse Gaussian Processes using Neighbor Information	0	0.34	2021
Towards a generic deep learning pipeline for traffic measurements	0	0.34	2021
An Identifiable Double VAE For Disentangled Representations	0	0.34	2021
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization	0	0.34	2021
Walsh-Hadamard Variational Inference for Bayesian Deep Learning.	0	0.34	2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning	0	0.34	2019
Exact gaussian process regression with distributed computations.	0	0.34	2019
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.	10	0.64	2019
A comparative evaluation of novelty detection algorithms for discrete sequences.	0	0.34	2019
Statistical inference in mechanistic models: time warping for improved gradient matching	2	0.50	2018
Good Initializations of Variational Bayes for Deep Models.	0	0.34	2018
A comparative evaluation of outlier detection algorithms: Experiments and analyses.	34	1.00	2018
Deep Gaussian Process autoencoders for novelty detection	2	0.35	2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification.	2	0.36	2018
Constraining the Dynamics of Deep Probabilistic Models.	3	0.42	2018
Variational Calibration of Computer Models.	0	0.34	2018
Autogp: Exploring The Capabilities And Limitations Of Gaussian Process Models	6	0.57	2017
Mini-Batch Spectral Clustering.	2	0.38	2017
Random Feature Expansions for Deep Gaussian Processes.	12	0.56	2017
Entropic Trace Estimates for Log Determinants.	3	0.40	2017
Bayesian Inference Of Log Determinants	2	0.39	2017
Preconditioning Kernel Matrices.	6	0.47	2016
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching.	1	0.36	2016
Parameter Inference in Differential Equation Models of Biopathways Using Time Warped Gradient Matching.	0	0.34	2016
Looking Good With Flickr Faves: Gaussian Processes for Finding Difference Makers in Personality Impressions.	2	0.41	2016
Inference in a Partial Differential Equations Model of Pulmonary Arterial and Venous Blood Circulation Using Statistical Emulation.	0	0.34	2016
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)	6	0.48	2015
MCMC for Variationally Sparse Gaussian Processes	12	0.69	2015
Monte Carlo Strength Evaluation: Fast and Reliable Password Checking	15	0.70	2015
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC	4	0.55	2014
Pseudo-Marginal Bayesian Inference for Gaussian Processes	11	1.05	2014
On User Availability Prediction and Network Applications	3	0.38	2014
Aggregation Algorithm Towards Large-Scale Boolean Network Analysis	28	1.20	2013
ODE parameter inference using adaptive gradient matching with Gaussian processes.	24	2.10	2013
Exact-Approximate Bayesian Inference for Gaussian Processes.	3	0.48	2013
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.	10	0.49	2013
Towards Causal Modeling of Human Behavior.	0	0.34	2012
From speech to personality: mapping voice quality and intonation into personality differences	7	0.55	2012
Predicting the conflict level in television political debates: an approach based on crowdsourcing, nonverbal communication and gaussian processes	10	0.56	2012
Approximate inference of the bandwidth in multivariate kernel density estimation	9	0.68	2011
Discussion of the paper: "Sampling schemes for generalized linear Dirichlet process random effects models" by M. Kyung, J. Gill, and G. Casella.	0	0.34	2011
Simulated annealing for supervised gene selection	0	0.34	2011
Information theoretic novelty detection	15	0.70	2010
Dealing with non-metric dissimilarities in fuzzy central clustering algorithms	7	0.55	2009
Soft ranking in clustering	0	0.34	2009
Clustering in the membership embedding space	3	0.41	2009
The discriminating power of random features	0	0.34	2009
A comparative evaluation of nonlinear dynamics methods for time series prediction	5	0.46	2009
Detecting Suspicious Behavior in Surveillance Images	3	0.39	2008

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