Guido Sanguinetti
Orcid: 0000-0002-6663-8336Affiliations:
- SISSA: Trieste, Italy
- University of Edinburgh, UK
According to our database1,
Guido Sanguinetti
authored at least 85 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
SCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics data.
PLoS Comput. Biol., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Bayesian Learning of Effective Chemical Master Equations in Crowded Intracellular Conditions.
Proceedings of the Computational Methods in Systems Biology, 2022
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
The MOBSTER R package for tumour subclonal deconvolution from bulk DNA whole-genome sequencing data.
BMC Bioinform., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
ACM Trans. Model. Comput. Simul., 2019
Neural field models for latent state inference: Application to large-scale neuronal recordings.
PLoS Comput. Biol., 2019
Proceedings of the Computational Methods in Systems Biology, 2019
Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations.
Proceedings of the Computational Methods in Systems Biology, 2019
2018
ACM Trans. Model. Comput. Simul., 2018
Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations.
Neural Comput., 2018
CoRR, 2018
Bioinform., 2018
Proceedings of the 2018 Winter Simulation Conference, 2018
Probabilistic Model Checking for Continuous-Time Markov Chains via Sequential Bayesian Inference.
Proceedings of the Quantitative Evaluation of Systems - 15th International Conference, 2018
2017
Unbiased Bayesian inference for population Markov jump processes via random truncations.
Stat. Comput., 2017
Policy learning in continuous-time Markov decision processes using Gaussian Processes.
Perform. Evaluation, 2017
CoRR, 2017
2016
Inf. Comput., 2016
DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks.
BMC Bioinform., 2016
Higher order methylation features for clustering and prediction in epigenomic studies.
Bioinform., 2016
Bioinform., 2016
Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016
Policy Learning for Time-Bounded Reachability in Continuous-Time Markov Decision Processes via Doubly-Stochastic Gradient Ascent.
Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016
Proceedings of the Computational Methods in Systems Biology, 2016
2015
Theor. Comput. Sci., 2015
Log. Methods Comput. Sci., 2015
Bioinform., 2015
M<sup>3</sup>D: a kernel-based test for spatially correlated changes in methylation profiles.
Bioinform., 2015
Combining tree-based and dynamical systems for the inference of gene regulatory networks.
Bioinform., 2015
Proceedings of the Runtime Verification - 6th International Conference, 2015
Proceedings of the Quantitative Evaluation of Systems, 12th International Conference, 2015
Proceedings of the Hybrid Systems Biology - Fourth International Workshop, 2015
Proceedings of the Computational Methods in Systems Biology, 2015
Efficient Stochastic Simulation of Systems with Multiple Time Scales via Statistical Abstraction.
Proceedings of the Computational Methods in Systems Biology, 2015
2014
Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014
A Statistical Approach for Computing Reachability of Non-linear and Stochastic Dynamical Systems.
Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications, 2014
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Proceedings of the Proceedings Third International Workshop on Hybrid Autonomous Systems, 2013
Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias.
CoRR, 2013
Proceedings of the Proceedings Second International Workshop on Hybrid Systems and Biology, 2013
Hybrid regulatory models: a statistically tractable approach to model regulatory network dynamics.
Bioinform., 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Computational Methods in Systems Biology, 2013
Springer Briefs in Applied Sciences and Technology, Springer, ISBN: 978-3-319-01038-0, 2013
2012
Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations.
IEEE Trans. Signal Process., 2012
J. Mach. Learn. Res., 2012
Proceedings of the Proceedings First International Workshop on Hybrid Systems and Biology, 2012
2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Neural Networks, 2011
Neural Comput., 2011
Comput. Stat. Data Anal., 2011
Reconstructing transcription factor activities in hierarchical transcription network motifs.
Bioinform., 2011
Bioinform., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster.
BMC Syst. Biol., 2010
Bioinform., 2010
Bioinform., 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Approximate Inference for Stochastic Reaction processes.
Proceedings of the Learning and Inference in Computational Systems Biology., 2010
2009
BMC Bioinform., 2009
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
2008
IEEE Trans. Pattern Anal. Mach. Intell., 2008
Bioinform., 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription.
Bioinform., 2006
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities.
Bioinform., 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Computational Methods in Systems Biology, International Conference, 2006
2005
Bioinform., 2005