Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Maurizio Filippone

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Pseudo-Marginal Bayesian Inference for Gaussian ProcessesMaurizio Filippone, Mark Girolami
Entropy (Basel, Switzerland)|November 27, 2021
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent IsotropizationGiulio Franzese, Dimitrios Milios, Maurizio Filippone, et al.
Proceedings of Machine Learning Research|April 22, 2024
Fully Bayesian Autoencoders with Latent Sparse Gaussian ProcessesBa-Hien Tran, Babak Shahbaba, Stephan Mandt, et al.
Neuroimage. Clinical|September 6, 2016
Decoding post-stroke motor function from structural brain imagingJane M Rondina, Maurizio Filippone, Mark Girolami, et al.
Computational Statistics|July 2, 2019
Statistical inference in mechanistic models: time warping for improved gradient matchingMu Niu, Benn Macdonald, Simon Rogers, et al.
Biomedical Engineering Online|July 26, 2016
Approximate parameter inference in systems biology using gradient matching: a comparative evaluationBenn Macdonald, Mu Niu, Simon Rogers, et al.
Neuroimage|October 29, 2017
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's diseaseMarco Lorenzi, Maurizio Filippone, Giovanni B Frisoni, et al.
Entropy (Basel, Switzerland)|May 16, 2023
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative ModelsGiulio Franzese, Simone Rossi, Lixuan Yang, et al.
Plos One|July 23, 2013
Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approachAndre F Marquand, Maurizio Filippone, John Ashburner, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Pseudo-Marginal Bayesian Inference for Gaussian ProcessesMaurizio Filippone, Mark Girolami
Entropy (Basel, Switzerland)|November 27, 2021
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent IsotropizationGiulio Franzese, Dimitrios Milios, Maurizio Filippone, et al.
Proceedings of Machine Learning Research|April 22, 2024
Fully Bayesian Autoencoders with Latent Sparse Gaussian ProcessesBa-Hien Tran, Babak Shahbaba, Stephan Mandt, et al.
Neuroimage. Clinical|September 6, 2016
Decoding post-stroke motor function from structural brain imagingJane M Rondina, Maurizio Filippone, Mark Girolami, et al.
Computational Statistics|July 2, 2019
Statistical inference in mechanistic models: time warping for improved gradient matchingMu Niu, Benn Macdonald, Simon Rogers, et al.
Biomedical Engineering Online|July 26, 2016
Approximate parameter inference in systems biology using gradient matching: a comparative evaluationBenn Macdonald, Mu Niu, Simon Rogers, et al.
Neuroimage|October 29, 2017
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's diseaseMarco Lorenzi, Maurizio Filippone, Giovanni B Frisoni, et al.
Entropy (Basel, Switzerland)|May 16, 2023
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative ModelsGiulio Franzese, Simone Rossi, Lixuan Yang, et al.
Plos One|July 23, 2013
Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approachAndre F Marquand, Maurizio Filippone, John Ashburner, et al.
Pageof 1