Kamu erişimi zorunlu olan makaleler - Maurizio FilipponeDaha fazla bilgi edinin
Bir yerde sunuluyor: 50
Random feature expansions for deep Gaussian processes
K Cutajar, EV Bonilla, P Michiardi, M Filippone
Proceedings of the 35th International Conference on Machine Learning 70, 884 …, 2017
Zorunlu olanlar: European Commission, AXA Research Fund, France
MCMC for variationally sparse Gaussian processes
J Hensman, AG Matthews, M Filippone, Z Ghahramani
Advances in neural information processing systems 28, 2015
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
ODE parameter inference using adaptive gradient matching with Gaussian processes
F Dondelinger, D Husmeier, S Rogers, M Filippone
Artificial intelligence and statistics, 216-228, 2013
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease
M Lorenzi, M Filippone, GB Frisoni, DC Alexander, S Ourselin, ...
NeuroImage 190, 56-68, 2019
Zorunlu olanlar: US Department of Defense, US National Institutes of Health, Canadian …
Decoding post-stroke motor function from structural brain imaging
JM Rondina, M Filippone, M Girolami, NS Ward
NeuroImage: Clinical 12, 372-380, 2016
Zorunlu olanlar: Wellcome Trust
Dirichlet-based gaussian processes for large-scale calibrated classification
D Milios, R Camoriano, P Michiardi, L Rosasco, M Filippone
Advances in Neural Information Processing Systems 31, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Defense, European …
All you need is a good functional prior for Bayesian deep learning
BH Tran, S Rossi, D Milios, M Filippone
Journal of Machine Learning Research 23 (74), 1-56, 2022
Zorunlu olanlar: Agence Nationale de la Recherche, AXA Research Fund, France
Pseudo-marginal Bayesian inference for Gaussian processes
M Filippone, M Girolami
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (11), 2214 …, 2014
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Deep compositional spatial models
A Zammit-Mangion, TLJ Ng, Q Vu, M Filippone
Journal of the American Statistical Association 117 (540), 1787-1808, 2022
Zorunlu olanlar: Australian Research Council, AXA Research Fund, France
From speech to personality: Mapping voice quality and intonation into personality differences
G Mohammadi, A Origlia, M Filippone, A Vinciarelli
Proceedings of the 20th ACM international conference on Multimedia, 789-792, 2012
Zorunlu olanlar: Swiss National Science Foundation
Team deep neural networks for interference channels
P De Kerret, D Gesbert, M Filippone
2018 IEEE International Conference on Communications Workshops (ICC …, 2018
Zorunlu olanlar: European Commission
Calibrating deep convolutional gaussian processes
GL Tran, EV Bonilla, J Cunningham, P Michiardi, M Filippone
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Zorunlu olanlar: AXA Research Fund, France
Automated, high accuracy classification of parkinsonian disorders: a pattern recognition approach
AF Marquand, M Filippone, J Ashburner, M Girolami, J Mourao-Miranda, ...
PloS one 8 (7), e69237, 2013
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council, Wellcome Trust
An identifiable double vae for disentangled representations
G Mita, M Filippone, P Michiardi
International Conference on Machine Learning, 7769-7779, 2021
Zorunlu olanlar: AXA Research Fund, France
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
M Filippone, R Engler
Proceedings of the 32nd International Conference on Machine Learning, 1015-1024, 2015
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Sparse Gaussian processes revisited: Bayesian approaches to inducing-variable approximations
S Rossi, M Heinonen, E Bonilla, Z Shen, M Filippone
International Conference on Artificial Intelligence and Statistics, 1837-1845, 2021
Zorunlu olanlar: Agence Nationale de la Recherche, AXA Research Fund, France
Predicting the conflict level in television political debates: an approach based on crowdsourcing, nonverbal communication and Gaussian processes
S Kim, M Filippone, F Valente, A Vinciarelli
Proceedings of the 20th ACM international conference on Multimedia, 793-796, 2012
Zorunlu olanlar: Swiss National Science Foundation
Fast parameter inference in nonlinear dynamical systems using iterative gradient matching
M Niu, S Rogers, M Filippone, D Husmeier
International conference on machine learning, 1699-1707, 2016
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Exact gaussian process regression with distributed computations
DT Nguyen, M Filippone, P Michiardi
Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 1286-1295, 2019
Zorunlu olanlar: AXA Research Fund, France
Good initializations of variational bayes for deep models
S Rossi, P Michiardi, M Filippone
International Conference on Machine Learning, 5487-5497, 2019
Zorunlu olanlar: AXA Research Fund, France
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