Guido Sanguinetti

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All published works

Action	Title	Year	Authors
+ PDF Chat	bioSBM: a random graph model to integrate epigenomic data in chromatin structure prediction	2024	Alex Chen Yi Zhang Angelo Rosa Guido Sanguinetti
+ PDF Chat	On the Robustness of Bayesian Neural Networks to Adversarial Attacks	2024	Luca Bortolussi Ginevra Carbone Luca Laurenti Andrea Patanè Guido Sanguinetti Matthew Wicker
+ PDF Chat	Model reduction for the Chemical Master Equation: An information-theoretic approach	2023	Kaan Öcal Guido Sanguinetti Ramon Grima
+	Attacks on Online Learners: a Teacher-Student Analysis	2023	Riccardo Giuseppe Margiotta Sebastian Goldt Guido Sanguinetti
+	Quantifying lottery tickets under label noise: accuracy, calibration, and complexity	2023	Viplove Arora Daniele Irto Sebastian Goldt Guido Sanguinetti
+ PDF Chat	Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks	2022	Ginevra Carbone Luca Bortolussi Guido Sanguinetti
+	Bayesian learning of effective chemical master equations in crowded intracellular conditions	2022	Svitlana Braichenko Ramon Grima Guido Sanguinetti
+	On the Robustness of Bayesian Neural Networks to Adversarial Attacks	2022	Luca Bortolussi Ginevra Carbone Luca Laurenti Andrea Patanè Guido Sanguinetti Matthew Wicker
+ PDF Chat	Bayesian Learning of Effective Chemical Master Equations in Crowded Intracellular Conditions	2022	Svitlana Braichenko Ramon Grima Guido Sanguinetti
+	Model Reduction for the Chemical Master Equation: an Information-Theoretic Approach	2022	K. Öcal Guido Sanguinetti R. Grima
+	Bottom-up data integration in polymer models of chromatin organisation	2022	Alex Chen Yi Zhang Angelo Rosa Guido Sanguinetti
+ PDF Chat	Random Projections for Improved Adversarial Robustness	2021	Ginevra Carbone Guido Sanguinetti Luca Bortolussi
+	Random Projections for Improved Adversarial Robustness	2021	Ginevra Carbone Guido Sanguinetti Luca Bortolussi
+	Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks	2021	Ginevra Carbone Guido Sanguinetti Luca Bortolussi
+	Random Projections for Improved Adversarial Robustness	2021	Ginevra Carbone Guido Sanguinetti Luca Bortolussi
+	Systematic errors in estimates of $R_t$ from symptomatic cases in the presence of observation bias	2020	Guido Sanguinetti
+	Robustness of Bayesian Neural Networks to Gradient-Based Attacks	2020	Ginevra Carbone Matthew Wicker Luca Laurenti Andrea Patanè Luca Bortolussi Guido Sanguinetti
+	Estimating the impact of preventive quarantine with reverse epidemiology	2020	Jacopo Grilli Matteo Marsili Guido Sanguinetti
+	Robustness of Bayesian Neural Networks to Gradient-Based Attacks	2020	Ginevra Carbone Matthew Wicker Luca Laurenti Andrea Patanè Luca Bortolussi Guido Sanguinetti
+	Systematic errors in estimates of $R_t$ from symptomatic cases in the presence of observation bias	2020	Guido Sanguinetti
+ PDF Chat	Parameter estimation for biochemical reaction networks using Wasserstein distances	2019	Kaan Öcal Ramon Grima Guido Sanguinetti
+ PDF Chat	Statistical Abstraction for Multi-scale Spatio-temporal Systems	2019	Michalis Michaelides Jane Hillston Guido Sanguinetti
+	Supplementary material from "Geometric fluid approximation for general continuous-time Markov chains"	2019	Michalis Michaelides Jane Hillston Guido Sanguinetti
+ PDF Chat	Geometric fluid approximation for general continuous-time Markov chains	2019	Michalis Michaelides Jane Hillston Guido Sanguinetti
+ PDF Chat	Gene Regulatory Network Inference: An Introductory Survey	2018	Vân Anh Huynh‐Thu Guido Sanguinetti
+ PDF Chat	Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations	2018	Michael E. Rule Guido Sanguinetti
+	Gene regulatory network inference: an introductory survey	2018	Vân Anh Huynh‐Thu Guido Sanguinetti
+ PDF Chat	Probabilistic Model Checking for Continuous-Time Markov Chains via Sequential Bayesian Inference	2018	Dimitrios Milios Guido Sanguinetti David Schnoerr
+	Intrinsic Geometric Vulnerability of High-Dimensional Artificial Intelligence	2018	Luca Bortolussi Guido Sanguinetti
+	Gene regulatory network inference: an introductory survey	2018	Vân Anh Huynh‐Thu Guido Sanguinetti
+ PDF Chat	Efficient Low-Order Approximation of First-Passage Time Distributions	2017	David Schnoerr Botond Cseke Ramon Grima Guido Sanguinetti
+	Probabilistic Model Checking for Continuous Time Markov Chains via Sequential Bayesian Inference	2017	Dimitrios Milios Guido Sanguinetti David Schnoerr
+	On learning the structure of Bayesian Networks and submodular function maximization	2017	Giulio Caravagna Daniele Ramazzotti Guido Sanguinetti
+	Approximating first-passage time distributions via sequential Bayesian computation	2017	David Schnoerr Botond Cseke Ramon Grima Guido Sanguinetti
+ PDF Chat	Statistical Abstraction for Multi-scale Spatio-Temporal Systems	2017	Michalis Michaelides Jane Hillston Guido Sanguinetti
+	Probabilistic Model Checking for Continuous Time Markov Chains via Sequential Bayesian Inference	2017	Dimitrios Milios Guido Sanguinetti David Schnoerr
+ PDF Chat	Approximation and inference methods for stochastic biochemical kinetics—a tutorial review	2016	David Schnoerr Guido Sanguinetti Ramon Grima
+ PDF Chat	Expectation propagation for continuous time stochastic processes	2016	Botond Cseke David Schnoerr Manfred Opper Guido Sanguinetti
+ PDF Chat	Higher order methylation features for clustering and prediction in epigenomic studies	2016	Chantriolnt-Andreas Kapourani Guido Sanguinetti
+ PDF Chat	Statistical modeling of isoform splicing dynamics from RNA-seq time series data	2016	Yuanhua Huang Guido Sanguinetti
+ PDF Chat	Unbiased Bayesian inference for population Markov jump processes via random truncations	2016	Anastasis Georgoulas Jane Hillston Guido Sanguinetti
+	Policy learning for time-bounded reachability in Continuous-Time Markov Decision Processes via doubly-stochastic gradient ascent	2016	Ezio Bartocci Luca Bortolussi Tomǎš Brázdil Dimitrios Milios Guido Sanguinetti
+	Cox process representation and inference for stochastic reaction–diffusion processes	2016	David Schnoerr Ramon Grima Guido Sanguinetti
+	Matching models across abstraction levels with Gaussian Processes	2016	Giulio Caravagna Luca Bortolussi Guido Sanguinetti
+	Matching models across abstraction levels with Gaussian Processes	2016	Giulio Caravagna Luca Bortolussi Guido Sanguinetti
+	Smoothed model checking for uncertain Continuous-Time Markov Chains	2016	Luca Bortolussi Dimitrios Milios Guido Sanguinetti
+	Sub-Riemannian Mean Curvature Flow for Image Processing	2016	Giovanna Citti Benedetta Franceschiello Guido Sanguinetti Alessandro Sarti
+ PDF Chat	Matching Models Across Abstraction Levels with Gaussian Processes	2016	Giulio Caravagna Luca Bortolussi Guido Sanguinetti
+ PDF Chat	Policy Learning for Time-Bounded Reachability in Continuous-Time Markov Decision Processes via Doubly-Stochastic Gradient Ascent	2016	Ezio Bartocci Luca Bortolussi Tomǎš Brázdil Dimitrios Milios Guido Sanguinetti
+	Statistical modeling of isoform splicing dynamics from RNA-seq time series data	2016	Yuanhua Huang Guido Sanguinetti
+ PDF Chat	Property-Driven State-Space Coarsening for Continuous Time Markov Chains	2016	Michalis Michaelides Dimitrios Milios Jane Hillston Guido Sanguinetti
+	Matching models across abstraction levels with Gaussian Processes	2016	Giulio Caravagna Luca Bortolussi Guido Sanguinetti
+	Policy learning for time-bounded reachability in Continuous-Time Markov Decision Processes via doubly-stochastic gradient ascent	2016	Ezio Bartocci Luca Bortolussi Tomǎš Brázdil Dimitrios Milios Guido Sanguinetti
+ PDF Chat	Sparse Approximate Inference for Spatio-Temporal Point Process Models	2015	Botond Cseke Andrew Zammit‐Mangion Tom Heskes Guido Sanguinetti
+	Expectation propagation for diffusion processes by moment closure approximations	2015	Botond Cseke David Schnoerr Manfred Opper Guido Sanguinetti
+ PDF Chat	Comparison of different moment-closure approximations for stochastic chemical kinetics	2015	David Schnoerr Guido Sanguinetti Ramon Grima
+	Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations	2015	Anastasis Georgoulas Jane Hillston Guido Sanguinetti
+	Comparison of moment-closure approximations for stochastic chemical kinetics	2015	David Schnoerr Guido Sanguinetti Ramon Grima
+ PDF Chat	A Bayesian approach for structure learning in oscillating regulatory networks	2015	Daniel Trejo Baños Andrew J. Millar Guido Sanguinetti
+ PDF Chat	Learning and Designing Stochastic Processes from Logical Constraints	2015	Luca Bortolussi Guido Sanguinetti
+	A Bayesian approach for structure learning in oscillating regulatory networks	2015	Daniel Gerardo Bencomo Trejo Millar Aj Guido Sanguinetti
+	Sparse Approximate Inference for Spatio-Temporal Point Process Models	2015	Botond Cseke Andrew Zammit Mangion Tom Heskes Guido Sanguinetti
+	Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations	2015	Anastasis Georgoulas Jane Hillston Guido Sanguinetti
+ PDF Chat	Validity conditions for moment closure approximations in stochastic chemical kinetics	2014	David Schnoerr Guido Sanguinetti Ramon Grima
+ PDF Chat	The complex chemical Langevin equation	2014	David Schnoerr Guido Sanguinetti Ramon Grima
+	M3D: a kernel-based test for shape changes in methylation profiles	2014	Tom Mayo Gabriele Schweikert Guido Sanguinetti
+	Smoothed Model Checking for Uncertain Continuous Time Markov Chains	2014	Luca Bortolussi Dimitrios Milios Guido Sanguinetti
+ PDF Chat	On the Robustness of Temporal Properties for Stochastic Models	2013	Ezio Bartocci Luca Bortolussi Laura Nenzi Guido Sanguinetti
+ PDF Chat	A stochastic hybrid model of a biological filter	2013	Andrea Ocone Guido Sanguinetti
+	Sparse approximations in spatio-temporal point-process models	2013	Botond Cseke Andrew Zammit‐Mangion Guido Sanguinetti Tom Heskes
+	Factored expectation propagation for input-output FHMM models in systems biology	2013	Botond Cseke Guido Sanguinetti
+	Modeling and Prediction in Conflict: Afghanistan	2013	Andrew Zammit‐Mangion Michael Dewar Visakan Kadirkamanathan Anaïd Flesken Guido Sanguinetti
+ PDF Chat	Learning and Designing Stochastic Processes from Logical Constraints	2013	Luca Bortolussi Guido Sanguinetti
+	Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias	2013	Ezio Bartocci Luca Bortolussi Guido Sanguinetti
+	Theory	2013	Andrew Zammit‐Mangion Michael Dewar Visakan Kadirkamanathan Anaïd Flesken Guido Sanguinetti
+	Sparse Approximate Inference for Spatio-Temporal Point Process Models	2013	Botond Cseke Andrew Zammit Mangion Tom Heskes Guido Sanguinetti
+	Factored expectation propagation for input-output FHMM models in systems biology	2013	Botond Cseke Guido Sanguinetti
+ PDF Chat	A subsystems approach for parameter estimation of ODE models of hybrid systems	2012	Anastasis Georgoulas Allan Clark Andrea Ocone Stephen Gilmore Guido Sanguinetti
+ PDF Chat	Point process modelling of the Afghan War Diary	2012	Andrew Zammit‐Mangion Michael Dewar Visakan Kadirkamanathan Guido Sanguinetti
+ PDF Chat	Approximate inference of the bandwidth in multivariate kernel density estimation	2011	Maurizio Filippone Guido Sanguinetti
+ PDF Chat	<scp>leafprocessor</scp>: a new leaf phenotyping tool using contour bending energy and shape cluster analysis	2010	Andreas Backhaus Asuka Kuwabara Marion Bauch Nick Monk Guido Sanguinetti Andrew J. Fleming
+ PDF Chat	The geometry of dual isomonodromic deformations	2004	Guido Sanguinetti N M J Woodhouse
+ PDF Chat	Categorial Mirror Symmetry for K3 Surfaces	1999	Claudio Bartocci Ugo Bruzzo Guido Sanguinetti
+	None	1998	Ugo Bruzzo Guido Sanguinetti
+	Mirror symmetry on K3 surfaces as a hyperkaehler rotation	1998	Ugo Bruzzo Guido Sanguinetti

Common Coauthors

Coauthor	Papers Together
Luca Bortolussi	23
David Schnoerr	13
Ramon Grima	12
Botond Cseke	10
Ginevra Carbone	9
Dimitrios Milios	9
Jane Hillston	8
Andrew Zammit‐Mangion	5
Michalis Michaelides	5
Ezio Bartocci	5
Giulio Caravagna	5
Matthew Wicker	4
Andrea Patanè	4
Luca Laurenti	4
Anastasis Georgoulas	4
Tom Heskes	4
Ugo Bruzzo	3
Michael Dewar	3
Visakan Kadirkamanathan	3
Tomǎš Brázdil	3
Vân Anh Huynh‐Thu	3
Andrew Zammit Mangion	2
Manfred Opper	2
Kaan Öcal	2
Anaïd Flesken	2
Svitlana Braichenko	2
Andrea Ocone	2
Angelo Rosa	2
Yuanhua Huang	2
Sebastian Goldt	2
Alex Chen Yi Zhang	2
Asuka Kuwabara	1
Laura Nenzi	1
Viplove Arora	1
Daniel Trejo Baños	1
Maurizio Filippone	1
Matteo Marsili	1
Daniele Irto	1
Riccardo Giuseppe Margiotta	1
Benedetta Franceschiello	1
Giovanna Citti	1
R. Grima	1
Jacopo Grilli	1
Gabriele Schweikert	1
N M J Woodhouse	1
Nick Monk	1
Andrew J. Fleming	1
Tom Mayo	1
Andreas Backhaus	1
Allan Clark	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Exact stochastic simulation of coupled chemical reactions	1977	Daniel T. Gillespie	15
+ PDF Chat	Learning and Designing Stochastic Processes from Logical Constraints	2013	Luca Bortolussi Guido Sanguinetti	10
+	Smoothed model checking for uncertain Continuous-Time Markov Chains	2016	Luca Bortolussi Dimitrios Milios Guido Sanguinetti	10
+ PDF Chat	Approximation and inference methods for stochastic biochemical kinetics—a tutorial review	2016	David Schnoerr Guido Sanguinetti Ramon Grima	9
+ PDF Chat	Validity conditions for moment closure approximations in stochastic chemical kinetics	2014	David Schnoerr Guido Sanguinetti Ramon Grima	7
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	6
+ PDF Chat	Point process modelling of the Afghan War Diary	2012	Andrew Zammit‐Mangion Michael Dewar Visakan Kadirkamanathan Guido Sanguinetti	6
+ PDF Chat	Comparison of different moment-closure approximations for stochastic chemical kinetics	2015	David Schnoerr Guido Sanguinetti Ramon Grima	6
+ PDF Chat	Bayesian Reasoning and Machine Learning	2012	David Barber	6
+	Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations	2009	Håvard Rue Sara Martino Nicolás Chopin	5
+ PDF Chat	Point process methodology for on‐line spatio‐temporal disease surveillance	2005	Peter J. Diggle Barry Rowlingson Ting‐Li Su	5
+ PDF Chat	Expectation propagation for continuous time stochastic processes	2016	Botond Cseke David Schnoerr Manfred Opper Guido Sanguinetti	4
+	A general moment expansion method for stochastic kinetic models	2013	Angelique Ale Paul Kirk Michael P. H. Stumpf	4
+ PDF Chat	Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings	2014	Christoph Zechner M. Unger Serge Pelet Matthias Peter Heinz Koeppl	4
+	Approximate Marginals in Latent Gaussian Models	2011	Botond Cseke Tom Heskes	4
+ PDF Chat	An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach	2011	Finn Lindgren Håvard Rue Johan Lindström	4
+	Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks	2018	Yarin Gal Lewis Smith	3
+ PDF Chat	Calibrated geometries	1982	Reese Harvey H. Blaine Lawson	3
+ PDF Chat	Efficient Statistical Inference for Stochastic Reaction Processes	2009	Andreas Ruttor Manfred Opper	3
+	Expectation propagation for approximate inference in dynamic bayesian networks	2002	Tom Heskes Onno Zoeter	3
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	3
+ PDF Chat	Inference for reaction networks using the linear noise approximation	2014	Paul Fearnhead Vasileios Giagos Chris Sherlock	3
+	Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting	2018	Artur Bekasov Iain Murray	3
+ PDF Chat	Analytical distributions for stochastic gene expression	2008	Vahid Shahrezaei Peter S. Swain	3
+ PDF Chat	Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators	2011	Awad H. Al-Mohy Nicholas J. Higham	3
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	3
+ PDF Chat	Efficient Low-Order Approximation of First-Passage Time Distributions	2017	David Schnoerr Botond Cseke Ramon Grima Guido Sanguinetti	3
+ PDF Chat	Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting	2012	Niranjan Srinivas Andreas Krause Sham M. Kakade Matthias Seeger	3
+ PDF Chat	Probabilistic Model Checking for Continuous-Time Markov Chains via Sequential Bayesian Inference	2018	Dimitrios Milios Guido Sanguinetti David Schnoerr	3
+	On the Geometry of Adversarial Examples	2018	Marc Khoury Dylan Hadfield-Menell	3
+ PDF Chat	ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context	2006	Adam A. Margolin Ilya Nemenman Katia Basso Chris H. Wiggins Gustavo Stolovitzky Riccardo Dalla Favera Andrea Califano	3
+	Space‐time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds	2001	Anders Brix Jesper Møller	3
+	Log Gaussian Cox Processes	1998	Jesper Møller Anne Randi Syversveen Rasmus Waagepetersen	3
+	The factored frontier algorithm for approximate inference in DBNs	2001	Kevin P. Murphy Yair Weiss	3
+ PDF Chat	None	2003	Nir Friedman Daphne Koller	3
+ PDF Chat	A Hierarchy of Approximations of the Master Equation Scaled by a Size Parameter	2007	Lars Ferm Per Lötstedt Andreas Hellander	3
+	Covariance selection for nonchordal graphs via chordal embedding	2008	Joachim Dahl Lieven Vandenberghe Vwani Roychowdhury	3
+ PDF Chat	Mirror symmetry for lattice polarizedK3 surfaces	1996	Igor V. Dolgachev	3
+ PDF Chat	Investigating the two-moment characterisation of subcellular biochemical networks	2009	Mukhtar Ullah Olaf Wolkenhauer	3
+ PDF Chat	Communication: Limitations of the stochastic quasi-steady-state approximation in open biochemical reaction networks	2011	Philipp Thomas Arthur V. Straube Ramon Grima	3
+ PDF Chat	Stochastic Simulation of Biomolecular Networks in Dynamic Environments	2016	Margaritis Voliotis Philipp Thomas Ramon Grima Clive G. Bowsher	3
+	Direct Methods for Sparse Linear Systems (Fundamentals of Algorithms 2)	2006	Timothy A. Davis	3
+	Adaptability of non-genetic diversity in bacterial chemotaxis	2014	Nicholas Frankel William Pontius Y. Dufour Junjiajia Long Luis Hernandez-Nunez Thierry Emonet	2
+	Special Lagrangian Fibrations I: Topology	1997	Mark Gross	2
+ PDF Chat	TIGRESS: Trustful Inference of Gene REgulation using Stability Selection	2012	Anne-Claire Haury Fantine Mordelet Paola Vera‐Licona Jean‐Philippe Vert	2
+ PDF Chat	A Bayesian approach for structure learning in oscillating regulatory networks	2015	Daniel Trejo Baños Andrew J. Millar Guido Sanguinetti	2
+ PDF Chat	Statistical Inference and Simulation for Spatial Point Processes	2003	Jesper Møller Rasmus Waagepetersen	2
+	Multi-scale modelling and simulation in systems biology	2011	Joseph O. Dada Pedro Mendes	2
+ PDF Chat	Non-homogeneous dynamic Bayesian networks for continuous data	2011	Marco Grzegorczyk Dirk Husmeier	2
+	Positivity preserving chemical Langevin equations	2008	Joshua Wilkie Yin Mei Wong	2