Accounting for probe-level noise in principal component analysis of microarray data. - Guido Sanguinetti; Marta Milo; Magnus Rattray; Neil D. Lawrence (Bioinform., 2005)

Identifying Submodules of Cellular Regulatory Networks. - Guido Sanguinetti; Magnus Rattray; Neil D. Lawrence (CMSB, 2006)

Missing Data in Kernel PCA. - Guido Sanguinetti; Neil D. Lawrence (ECML, 2006)

Modelling transcriptional regulation using Gaussian Processes. - Neil D. Lawrence; Guido Sanguinetti; Magnus Rattray (NIPS, 2006)

Propagating uncertainty in microarray data analysis. - Magnus Rattray; Xuejun Liu; Guido Sanguinetti; Marta Milo; Neil D. Lawrence (Briefings Bioinform., 2006)

Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities. - Guido Sanguinetti; Neil D. Lawrence; Magnus Rattray (Bioinform., 2006)

A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription. - Guido Sanguinetti; Magnus Rattray; Neil D. Lawrence (Bioinform., 2006)

Variational inference for Markov jump processes. - Manfred Opper; Guido Sanguinetti (NIPS, 2007)

Identifying differentially expressed subnetworks with MMG. - Josselin Noirel; Guido Sanguinetti; Phillip C. Wright (Bioinform., 2008)

MMG: a probabilistic tool to identify submodules of metabolic pathways. - Guido Sanguinetti; Josselin Noirel; Phillip C. Wright (Bioinform., 2008)

Dimensionality Reduction of Clustered Data Sets. - Guido Sanguinetti (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

A new probabilistic generative model of parameter inference in biochemical networks. - Paola Lecca; Alida Palmisano; Corrado Priami; Guido Sanguinetti (SAC, 2009)

Switching regulatory models of cellular stress response. - Guido Sanguinetti; Andreas Ruttor; Manfred Opper; Cédric Archambeau (Bioinform., 2009)

puma: a Bioconductor package for propagating uncertainty in microarray analysis. - Richard D. Pearson; Xuejun Liu; Guido Sanguinetti; Marta Milo; Neil D. Lawrence; Magnus Rattray (BMC Bioinform., 2009)

Approximate Inference for Stochastic Reaction processes. - Andreas Ruttor; Guido Sanguinetti; Manfred Opper (Learning and Inference in Computational Systems Biology, 2010)

Approximate inference in continuous time Gaussian-Jump processes. - Manfred Opper; Andreas Ruttor; Guido Sanguinetti (NIPS, 2010)

TFInfer: a tool for probabilistic inference of transcription factor activities. - Hafiz Muhammad Shahzad Asif; Matthew D. Rolfe; Jeffrey Green; Neil D. Lawrence; Magnus Rattray; Guido Sanguinetti (Bioinform., 2010)

Learning combinatorial transcriptional dynamics from gene expression data. - Manfred Opper; Guido Sanguinetti (Bioinform., 2010)

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster. - Michael Dewar; Visakan Kadirkamanathan; Manfred Opper; Guido Sanguinetti (BMC Syst. Biol., 2010)

Information theoretic novelty detection. - Maurizio Filippone; Guido Sanguinetti (Pattern Recognit., 2010)

Inference in continuous-time change-point models. - Florian Stimberg; Manfred Opper; Guido Sanguinetti; Andreas Ruttor (NIPS, 2011)

Large-scale learning of combinatorial transcriptional dynamics from gene expression. - Hafiz Muhammad Shahzad Asif; Guido Sanguinetti (Bioinform., 2011)

Reconstructing transcription factor activities in hierarchical transcription network motifs. - Andrea Ocone; Guido Sanguinetti (Bioinform., 2011)

Approximate inference of the bandwidth in multivariate kernel density estimation. - Maurizio Filippone; Guido Sanguinetti (Comput. Stat. Data Anal., 2011)

Online Variational Inference for State-Space Models with Point-Process Observations. - Andrew Zammit-Mangion; Ke Yuan; Visakan Kadirkamanathan; Mahesan Niranjan; Guido Sanguinetti (Neural Comput., 2011)

Bayesian Multitask Classification With Gaussian Process Priors. - Grigorios Skolidis; Guido Sanguinetti (IEEE Trans. Neural Networks, 2011)

A Perturbative Approach to Novelty Detection in Autoregressive Models. - Maurizio Filippone; Guido Sanguinetti (IEEE Trans. Signal Process., 2011)

A subsystems approach for parameter estimation of ODE models of hybrid systems - Anastasis Georgoulas; Allan Clark; Andrea Ocone; Stephen Gilmore; Guido Sanguinetti (HSB, 2012)

Multi-task learning for pKa prediction. - Grigorios Skolidis; Katja Hansen; Guido Sanguinetti; Matthias Rupp (J. Comput. Aided Mol. Des., 2012)

A Case Study on Meta-Generalising: A Gaussian Processes Approach. - Grigorios Skolidis; Guido Sanguinetti (J. Mach. Learn. Res., 2012)

Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations. - Andrew Zammit-Mangion; Guido Sanguinetti; Visakan Kadirkamanathan (IEEE Trans. Signal Process., 2012)

Modeling Conflict Dynamics with Spatio-temporal Data. - Andrew Zammit-Mangion; Michael Dewar; Visakan Kadirkamanathan; Anaid Flesken; Guido Sanguinetti (Springer, 2013)

ABC-Fun: A Probabilistic Programming Language for Biology. - Anastasis Georgoulas; Jane Hillston; Guido Sanguinetti (CMSB, 2013)

Approximate inference in latent Gaussian-Markov models from continuous time observations. - Botond Cseke; Manfred Opper; Guido Sanguinetti (NIPS, 2013)

Hybrid regulatory models: a statistically tractable approach to model regulatory network dynamics. - Andrea Ocone; Andrew J. Millar; Guido Sanguinetti (Bioinform., 2013)

On the Robustness of Temporal Properties for Stochastic Models. - Ezio Bartocci; Luca Bortolussi; Laura Nenzi; Guido Sanguinetti (HSB, 2013)

Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias. - Ezio Bartocci; Luca Bortolussi; Guido Sanguinetti (CoRR, 2013)

A stochastic hybrid model of a biological filter. - Andrea Ocone; Guido Sanguinetti (HAS, 2013)

Semisupervised Multitask Learning With Gaussian Processes. - Grigorios Skolidis; Guido Sanguinetti (IEEE Trans. Neural Networks Learn. Syst., 2013)

Data-Driven Statistical Learning of Temporal Logic Properties. - Ezio Bartocci; Luca Bortolussi; Guido Sanguinetti (FORMATS, 2014)

Temporal Logic Based Monitoring of Assisted Ventilation in Intensive Care Patients. - Sara Bufo; Ezio Bartocci; Guido Sanguinetti; Massimo Borelli; Umberto Lucangelo; Luca Bortolussi (ISoLA (2), 2014)

A Statistical Approach for Computing Reachability of Non-linear and Stochastic Dynamical Systems. - Luca Bortolussi; Guido Sanguinetti (QEST, 2014)

Probabilistic Programming Process Algebra. - Anastasis Georgoulas; Jane Hillston; Dimitrios Milios; Guido Sanguinetti (QEST, 2014)

Smoothed Model Checking for Uncertain Continuous Time Markov Chains. - Luca Bortolussi; Guido Sanguinetti (CoRR, 2014)

Efficient Stochastic Simulation of Systems with Multiple Time Scales via Statistical Abstraction. - Luca Bortolussi; Dimitrios Milios; Guido Sanguinetti (CMSB, 2015)

Experimental Design for Inference over the A. thaliana Circadian Clock Network. - Daniel Trejo-Baños; Andrew J. Millar; Guido Sanguinetti (CMSB, 2015)

Studying Emergent Behaviours in Morphogenesis Using Signal Spatio-Temporal Logic. - Ezio Bartocci; Luca Bortolussi; Dimitrios Milios; Laura Nenzi; Guido Sanguinetti (HSB, 2015)

U-Check: Model Checking and Parameter Synthesis Under Uncertainty. - Luca Bortolussi; Dimitrios Milios; Guido Sanguinetti (QEST, 2015)

Machine Learning Methods in Statistical Model Checking and System Design - Tutorial. - Luca Bortolussi; Dimitrios Milios; Guido Sanguinetti (RV, 2015)

Combining tree-based and dynamical systems for the inference of gene regulatory networks. - Vân Anh Huynh-Thu; Guido Sanguinetti (Bioinform., 2015)

M3D: a kernel-based test for spatially correlated changes in methylation profiles. - Tom R. Mayo; Gabriele Beate Schweikert; Guido Sanguinetti (Bioinform., 2015)

A Bayesian approach for structure learning in oscillating regulatory networks. - Daniel Trejo-Baños; Andrew J. Millar; Guido Sanguinetti (Bioinform., 2015)

Learning and Designing Stochastic Processes from Logical Constraints. - Luca Bortolussi; Guido Sanguinetti (Log. Methods Comput. Sci., 2015)

System design of stochastic models using robustness of temporal properties. - Ezio Bartocci; Luca Bortolussi; Laura Nenzi; Guido Sanguinetti (Theor. Comput. Sci., 2015)

Matching Models Across Abstraction Levels with Gaussian Processes. - Giulio Caravagna; Luca Bortolussi; Guido Sanguinetti (CMSB, 2016)

Policy Learning for Time-Bounded Reachability in Continuous-Time Markov Decision Processes via Doubly-Stochastic Gradient Ascent. - Ezio Bartocci; Luca Bortolussi; Tomás Brázdil; Dimitrios Milios; Guido Sanguinetti (QEST, 2016)

Property-Driven State-Space Coarsening for Continuous Time Markov Chains. - Michalis Michaelides; Dimitrios Milios; Jane Hillston; Guido Sanguinetti (QEST, 2016)

Statistical modeling of isoform splicing dynamics from RNA-seq time series data. - Yuanhua Huang; Guido Sanguinetti (Bioinform., 2016)

Higher order methylation features for clustering and prediction in epigenomic studies. - Chantriolnt-Andreas Kapourani; Guido Sanguinetti (Bioinform., 2016)

DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks. - Saulius Lukauskas; Roberto Visintainer; Guido Sanguinetti; Gabriele Beate Schweikert (BMC Bioinform., 2016)

Smoothed model checking for uncertain Continuous-Time Markov Chains. - Luca Bortolussi; Dimitrios Milios; Guido Sanguinetti (Inf. Comput., 2016)

On learning the structure of Bayesian Networks and submodular function maximization. - Giulio Caravagna; Daniele Ramazzotti; Guido Sanguinetti (CoRR, 2017)

Policy learning in continuous-time Markov decision processes using Gaussian Processes. - Ezio Bartocci; Luca Bortolussi; Tomás Brázdil; Dimitrios Milios; Guido Sanguinetti (Perform. Evaluation, 2017)

Unbiased Bayesian inference for population Markov jump processes via random truncations. - Anastasis Georgoulas; Jane Hillston; Guido Sanguinetti (Stat. Comput., 2017)

Probabilistic Model Checking for Continuous-Time Markov Chains via Sequential Bayesian Inference. - Dimitrios Milios; Guido Sanguinetti; David Schnoerr (QEST, 2018)

Bayesian Statistical parametric Verification and synthesis by Machine Learning. - Luca Bortolussi; Guido Sanguinetti; Simone Silvetti (WSC, 2018)

BPRMeth: a flexible Bioconductor package for modelling methylation profiles. - Chantriolnt-Andreas Kapourani; Guido Sanguinetti (Bioinform., 2018)

Intrinsic Geometric Vulnerability of High-Dimensional Artificial Intelligence. - Luca Bortolussi; Guido Sanguinetti (CoRR, 2018)

Preface. - Guido Sanguinetti; David Safránek (SASB, 2018)

Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations. - Michael Everett Rule; Guido Sanguinetti (Neural Comput., 2018)

ProPPA: Probabilistic Programming for Stochastic Dynamical Systems. - Anastasis Georgoulas; Jane Hillston; Guido Sanguinetti (ACM Trans. Model. Comput. Simul., 2018)

Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations. - Ankit Gupta 013; Mustafa Khammash; Guido Sanguinetti (CMSB, 2019)

Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks. - Kaan Öcal; Ramon Grima; Guido Sanguinetti (CMSB, 2019)

Geometric fluid approximation for general continuous-time Markov chains. - Michalis Michaelides; Jane Hillston; Guido Sanguinetti (CoRR, 2019)

Neural field models for latent state inference: Application to large-scale neuronal recordings. - Michael Everett Rule; David Schnoerr; Matthias H. Hennig; Guido Sanguinetti (PLoS Comput. Biol., 2019)

Statistical Abstraction for Multi-scale Spatio-temporal Systems. - Michalis Michaelides; Jane Hillston; Guido Sanguinetti (ACM Trans. Model. Comput. Simul., 2019)

Robustness of Bayesian Neural Networks to Gradient-Based Attacks. - Ginevra Carbone; Matthew Wicker; Luca Laurenti; Andrea Patané; Luca Bortolussi; Guido Sanguinetti (NeurIPS, 2020)

The MOBSTER R package for tumour subclonal deconvolution from bulk DNA whole-genome sequencing data. - Giulio Caravagna; Guido Sanguinetti; Trevor A. Graham; Andrea Sottoriva (BMC Bioinform., 2020)

Random Projections for Improved Adversarial Robustness. - Ginevra Carbone; Guido Sanguinetti; Luca Bortolussi (IJCNN, 2021)

Bayesian Learning of Effective Chemical Master Equations in Crowded Intracellular Conditions. - Svitlana Braichenko; Ramon Grima; Guido Sanguinetti (CMSB, 2022)

Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks. - Ginevra Carbone; Luca Bortolussi; Guido Sanguinetti (IJCNN, 2022)

SCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics data. - Christos Maniatis; Catalina A. Vallejos; Guido Sanguinetti (PLoS Comput. Biol., 2022)

Attacks on Online Learners: a Teacher-Student Analysis. - Riccardo Giuseppe Margiotta; Sebastian Goldt; Guido Sanguinetti (NeurIPS, 2023)

Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. - Viplove Arora; Daniele Irto; Sebastian Goldt; Guido Sanguinetti (UAI, 2023)

On the Robustness of Bayesian Neural Networks to Adversarial Attacks. - Luca Bortolussi; Ginevra Carbone; Luca Laurenti; Andrea Patane; Guido Sanguinetti; Matthew Wicker (IEEE Trans. Neural Networks Learn. Syst., 2025)

Cartan Networks: Group theoretical Hyperbolic Deep Learning. - Federico Milanesio; Matteo Santoro; Pietro Giuseppe Fré; Guido Sanguinetti (CoRR, 2025)

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks. - Pietro Giuseppe Fré; Federico Milanesio; Guido Sanguinetti; Matteo Santoro (CoRR, 2025)