Search Results for author: Simone Carlo Surace

Found 3 papers, 1 papers with code

Efficient Sampling-Based Bayesian Active Learning for synaptic characterization

no code implementations19 Jan 2022 Camille Gontier, Simone Carlo Surace, Igor Delvendahl, Martin Müller, Jean-Pascal Pfister

Bayesian Active Learning (BAL) is an efficient framework for learning the parameters of a model, in which input stimuli are selected to maximize the mutual information between the observations and the unknown parameters.

Active Learning

The Hitchhiker's Guide to Nonlinear Filtering

1 code implementation21 Mar 2019 Anna Kutschireiter, Simone Carlo Surace, Jean-Pascal Pfister

From there we continue our journey through discrete-time models, which is usually encountered in machine learning, and generalize to and further emphasize continuous-time filtering theory.


Online Maximum Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes

no code implementations1 Nov 2016 Simone Carlo Surace, Jean-Pascal Pfister

We revisit the problem of estimating the parameters of a partially observed diffusion process, consisting of a hidden state process and an observed process, with a continuous time parameter.

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