Luca Bortolussi

Orcid: 0000-0001-8874-4001

Affiliations:
  • University of Trieste, Italy


According to our database1, Luca Bortolussi authored at least 173 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures.
Proc. ACM Program. Lang., January, 2024

ResiDual Transformer Alignment with Spectral Decomposition.
CoRR, 2024

Timeseria: an object-oriented time series processing library.
CoRR, 2024

Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations.
CoRR, 2024

Can you trust your explanations? A robustness test for feature attribution methods.
CoRR, 2024

Deep Learning-Informed Bayesian Model-Based Analysis to Estimate Superspreading Events in Epidemic Outbreaks.
IEEE Access, 2024

Fast ML-driven Analog Circuit Layout using Reinforcement Learning and Steiner Trees.
Proceedings of the 20th International Conference on Synthesis, 2024

Retrieval-Augmented Mining of Temporal Logic Specifications from Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

ECATS: Explainable-by-Design Concept-Based Anomaly Detection for Time Series.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Towards a Probabilistic Programming Approach to Analyse Collective Adaptive Systems.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. REoCAS Colloquium in Honor of Rocco De Nicola, 2024

Is Machine Learning Model Checking Privacy Preserving?
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Rigorous Engineering of Collective Adaptive Systems, 2024

stl2vec: Semantic and Interpretable Vector Representation of Temporal Logic.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Generative abstraction of Markov population processes.
Theor. Comput. Sci., October, 2023

MoonLight: a lightweight tool for monitoring spatio-temporal properties.
Int. J. Softw. Tools Technol. Transf., August, 2023

Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints.
CoRR, 2023

CARSO: Counter-Adversarial Recall of Synthetic Observations.
CoRR, 2023

Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension.
CoRR, 2023

Data Symmetries and Learning in Fully Connected Neural Networks.
IEEE Access, 2023

Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees.
Proceedings of the Runtime Verification - 23rd International Conference, 2023

Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking.
Proceedings of the Runtime Verification - 23rd International Conference, 2023

Data-Driven Inference of Chemical Reaction Networks via Graph-Based Variational Autoencoders.
Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

Model Abstraction and Conditional Sampling with Score-Based Diffusion Models.
Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

Towards Invertible Semantic-Preserving Embeddings of Logical Formulae.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Machine Learning methods for the Atmosphere, the Ocean, and the Seabed.
Proceedings of the Italia Intelligenza Artificiale, 2023

Data Science and Artificial Intelligence for Life Sciences at the University of Trieste.
Proceedings of the Italia Intelligenza Artificiale, 2023

Reliable and Explainable AI in Trieste.
Proceedings of the Italia Intelligenza Artificiale, 2023

Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data.
Proceedings of the Progress in Artificial Intelligence, 2023

2022
A Logic for Monitoring Dynamic Networks of Spatially-distributed Cyber-Physical Systems.
Log. Methods Comput. Sci., 2022

Efficient extraction of seismic reflection with Deep Learning.
Comput. Geosci., 2022

On the Robustness of Bayesian Neural Networks to Adversarial Attacks.
CoRR, 2022

Stochastic Variational Smoothed Model Checking.
CoRR, 2022

Graph Neural Networks for Propositional Model Counting.
CoRR, 2022

Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG.
CoRR, 2022

Learning Model Checking and the Kernel Trick for Signal Temporal Logic on Stochastic Processes.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2022

Jump Longer to Jump Less: Improving Dynamic Boundary Projection with h-Scaling.
Proceedings of the Quantitative Evaluation of Systems - 19th International Conference, 2022

Neural Predictive Monitoring for Collective Adaptive Systems.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Variance Reduction in Stochastic Reaction Networks Using Control Variates.
Proceedings of the Principles of Systems Design, 2022

2021
Neural predictive monitoring and a comparison of frequentist and Bayesian approaches.
Int. J. Softw. Tools Technol. Transf., 2021

Refining Mean-field Approximations by Dynamic State Truncation.
Proc. ACM Meas. Anal. Comput. Syst., 2021

MoonLight: A Lightweight Tool for Monitoring Spatio-Temporal Properties.
CoRR, 2021

Analysis of Markov Jump Processes under Terminal Constraints.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2021

Neural Predictive Monitoring Under Partial Observability.
Proceedings of the Runtime Verification - 21st International Conference, 2021

Abstraction-Guided Truncations for Stationary Distributions of Markov Population Models.
Proceedings of the Quantitative Evaluation of Systems - 18th International Conference, 2021

Random Projections for Improved Adversarial Robustness.
Proceedings of the International Joint Conference on Neural Networks, 2021

Abstraction of Markov Population Dynamics via Generative Adversarial Nets.
Proceedings of the Computational Methods in Systems Biology, 2021

Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020
Fluid approximation of broadcasting systems.
Theor. Comput. Sci., 2020

Density-embedding layers: a general framework for adaptive receptive fields.
CoRR, 2020

Improved estimations of stochastic chemical kinetics by finite state expansion.
CoRR, 2020

Monitoring Spatio-Temporal Properties (Invited Tutorial).
Proceedings of the Runtime Verification - 20th International Conference, 2020

Bounding Mean First Passage Times in Population Continuous-Time Markov Chains.
Proceedings of the Quantitative Evaluation of Systems - 17th International Conference, 2020

A kernel function for Signal Temporal Logic formulae.
Proceedings of the 2nd Workshop on Artificial Intelligence and Formal Verification, 2020

Bayesian Neural Predictive Monitoring.
Proceedings of the 2nd Workshop on Artificial Intelligence and Formal Verification, 2020

Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems.
Proceedings of the 2nd Workshop on Artificial Intelligence and Formal Verification, 2020

Robustness of Bayesian Neural Networks to Gradient-Based Attacks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Introduction to the Special Issue on Qest 2017.
ACM Trans. Model. Comput. Simul., 2019

Central Limit Model Checking.
ACM Trans. Comput. Log., 2019

Size expansions of mean field approximation: Transient and steady-state analysis.
Perform. Evaluation, 2019

Neural Predictive Monitoring.
Proceedings of the Runtime Verification - 19th International Conference, 2019

Reducing Spreading Processes on Networks to Markov Population Models.
Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019

Bayesian Abstraction of Markov Population Models.
Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019

Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents.
Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things, 2019

Rejection-Based Simulation of Non-Markovian Agents on Complex Networks.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Bounding First Passage Times in Chemical Reaction Networks - Poster Abstract.
Proceedings of the Computational Methods in Systems Biology, 2019

Control Variates for Stochastic Simulation of Chemical Reaction Networks.
Proceedings of the Computational Methods in Systems Biology, 2019

Conformal Predictions for Hybrid System State Classification.
Proceedings of the From Reactive Systems to Cyber-Physical Systems, 2019

2018
Moment-Based Parameter Estimation for Stochastic Reaction Networks in Equilibrium.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Qualitative and Quantitative Monitoring of Spatio-Temporal Properties with SSTL.
Log. Methods Comput. Sci., 2018

Model checking Markov population models by stochastic approximations.
Inf. Comput., 2018

Intrinsic Geometric Vulnerability of High-Dimensional Artificial Intelligence.
CoRR, 2018

Bayesian Statistical parametric Verification and synthesis by Machine Learning.
Proceedings of the 2018 Winter Simulation Conference, 2018

Bayesian Statistical Parameter Synthesis for Linear Temporal Properties of Stochastic Models.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2018

A Robust Genetic Algorithm for Learning Temporal Specifications from Data.
Proceedings of the Quantitative Evaluation of Systems - 15th International Conference, 2018

Lumping the Approximate Master Equation for Multistate Processes on Complex Networks.
Proceedings of the Quantitative Evaluation of Systems - 15th International Conference, 2018

Deep Abstractions of Chemical Reaction Networks.
Proceedings of the Computational Methods in Systems Biology, 2018

Signal Convolution Logic.
Proceedings of the Automated Technology for Verification and Analysis, 2018

2017
Policy learning in continuous-time Markov decision processes using Gaussian Processes.
Perform. Evaluation, 2017

Lumping of Degree-Based Mean Field and Pair Approximation Equations for Multi-State Contact Processes.
CoRR, 2017

Monitoring mobile and spatially distributed cyber-physical systems.
Proceedings of the 15th ACM-IEEE International Conference on Formal Methods and Models for System Design, 2017

An Active Learning Approach to the Falsification of Black Box Cyber-Physical Systems.
Proceedings of the Integrated Formal Methods - 13th International Conference, 2017

Reachability Computation for Switching Diffusions: Finite Abstractions with Certifiable and Tuneable Precision.
Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control, 2017

2016
Editorial: Quantitative Aspects of Programming Languages and Systems.
Theor. Comput. Sci., 2016

Smoothed model checking for uncertain Continuous-Time Markov Chains.
Inf. Comput., 2016

Hybrid behaviour of Markov population models.
Inf. Comput., 2016

Location Aggregation of Spatial Population CTMC Models.
Proceedings of the Proceedings 14th International Workshop Quantitative Aspects of Programming Languages and Systems, 2016

jSSTL - A Tool to Monitor Spatio-Temporal Properties.
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2016

Mean-Field Limits Beyond Ordinary Differential Equations.
Proceedings of the Formal Methods for the Quantitative Evaluation of Collective Adaptive Systems, 2016

Approximation of Probabilistic Reachability for Chemical Reaction Networks Using the Linear Noise Approximation.
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

Logic-Based Multi-objective Design of Chemical Reaction Networks.
Proceedings of the Hybrid Systems Biology - 5th International Workshop, 2016

Mean Field Approximation of Uncertain Stochastic Models.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

Matching Models Across Abstraction Levels with Gaussian Processes.
Proceedings of the Computational Methods in Systems Biology, 2016

Generalized Method of Moments for Stochastic Reaction Networks in Equilibrium.
Proceedings of the Computational Methods in Systems Biology, 2016

Fluid Analysis of Spatio-Temporal Properties of Agents in a Population Model.
Proceedings of the Analytical and Stochastic Modelling Techniques and Applications, 2016

2015
System design of stochastic models using robustness of temporal properties.
Theor. Comput. Sci., 2015

Model checking single agent behaviours by fluid approximation.
Inf. Comput., 2015

Coding Theory: A General Framework and Two Inverse Problems.
Fundam. Informaticae, 2015

Learning and Designing Stochastic Processes from Logical Constraints.
Log. Methods Comput. Sci., 2015

CARMA: Collective Adaptive Resource-sharing Markovian Agents.
Proceedings of the Proceedings Thirteenth Workshop on Quantitative Aspects of Programming Languages and Systems, 2015

Efficient Checking of Individual Rewards Properties in Markov Population Models.
Proceedings of the Proceedings Thirteenth Workshop on Quantitative Aspects of Programming Languages and Systems, 2015

On the impact of discreteness and abstractions on modelling noise in gene regulatory networks.
Comput. Biol. Chem., 2015

Rule-based modelling and simulation of drug-administration policies.
Proceedings of the Symposium on Modeling and Simulation in Medicine, 2015

Qualitative and Quantitative Monitoring of Spatio-Temporal Properties.
Proceedings of the Runtime Verification - 6th International Conference, 2015

Machine Learning Methods in Statistical Model Checking and System Design - Tutorial.
Proceedings of the Runtime Verification - 6th International Conference, 2015

U-Check: Model Checking and Parameter Synthesis Under Uncertainty.
Proceedings of the Quantitative Evaluation of Systems, 12th International Conference, 2015

Model-Based Whole-Genome Analysis of DNA Methylation Fidelity.
Proceedings of the Hybrid Systems Biology - Fourth International Workshop, 2015

Studying Emergent Behaviours in Morphogenesis Using Signal Spatio-Temporal Logic.
Proceedings of the Hybrid Systems Biology - Fourth International Workshop, 2015

Fluid Model Checking of Timed Properties.
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2015

Efficient Stochastic Simulation of Systems with Multiple Time Scales via Statistical Abstraction.
Proceedings of the Computational Methods in Systems Biology, 2015

2014
Hybrid Systems and Biology.
Inf. Comput., 2014

A Quantitative Approach to the Design and Analysis of Collective Adaptive Systems for Smart Cities.
ERCIM News, 2014

Fluid Performability Analysis of Nested Automata Models.
Proceedings of the Seventh International Workshop on the Practical Application of Stochastic Modelling, 2014

Smoothed Model Checking for Uncertain Continuous Time Markov Chains.
CoRR, 2014

Stochastic HYPE: Flow-based modelling of stochastic hybrid systems.
CoRR, 2014

Specifying and Monitoring Properties of Stochastic Spatio-Temporal Systems in Signal Temporal Logic.
Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools, 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

Mean-Field Approximation and Quasi-Equilibrium Reduction of Markov Population Models.
Proceedings of the Quantitative Evaluation of Systems - 11th International Conference, 2014

Temporal Logic Based Monitoring of Assisted Ventilation in Intensive Care Patients.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications, 2014

Data-Driven Statistical Learning of Temporal Logic Properties.
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2014

Stochastic Approximation of Global Reachability Probabilities of Markov Population Models.
Proceedings of the Computer Performance Engineering - 11th European Workshop, 2014

2013
Continuous approximation of collective system behaviour: A tutorial.
Perform. Evaluation, 2013

Bounds on the deviation of discrete-time Markov chains from their mean-field model.
Perform. Evaluation, 2013

(Hybrid) automata and (stochastic) programs<i>The hybrid automata lattice of a stochastic program</i>.
J. Log. Comput., 2013

HYPE: Hybrid modelling by composition of flows.
Formal Aspects Comput., 2013

Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias.
CoRR, 2013

On the Robustness of Temporal Properties for Stochastic Models.
Proceedings of the Proceedings Second International Workshop on Hybrid Systems and Biology, 2013

Differential analysis of interacting automata with immediate actions.
Proceedings of the 7th International Conference on Performance Evaluation Methodologies and Tools, 2013

Checking Individual Agent Behaviours in Markov Population Models by Fluid Approximation.
Proceedings of the Formal Methods for Dynamical Systems, 2013

Model Checking Markov Population Models by Central Limit Approximation.
Proceedings of the Quantitative Evaluation of Systems - 10th International Conference, 2013

Stochastic Process Algebra and Stability Analysis of Collective Systems.
Proceedings of the Coordination Models and Languages, 15th International Conference, 2013

A Temporal Logic Approach to Modular Design of Synthetic Biological Circuits.
Proceedings of the Computational Methods in Systems Biology, 2013

2012
Studying cancer-cell populations by programmable models of networks.
Netw. Model. Anal. Health Informatics Bioinform., 2012

Spearman Permutation Distances and Shannon's Distinguishability.
Fundam. Informaticae, 2012

Hybrid performance modelling of opportunistic networks
Proceedings of the Proceedings 10th Workshop on Quantitative Aspects of Programming Languages and Systems, 2012

Fluid limits of queueing networks with batches.
Proceedings of the Third Joint WOSP/SIPEW International Conference on Performance Engineering, 2012

Fluid limit of an asynchronous optical packet switch with shared per link full range wavelength conversion.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Fluid Approximation of CTMC with Deterministic Delays.
Proceedings of the Ninth International Conference on Quantitative Evaluation of Systems, 2012

Don't Just Go with the Flow: Cautionary Tales of Fluid Flow Approximation.
Proceedings of the Computer Performance Engineering - 9th European Workshop, 2012

Fluid Model Checking.
Proceedings of the CONCUR 2012 - Concurrency Theory - 23rd International Conference, 2012

2011
Programmable models of growth and mutation of cancer-cell populations
Proceedings of the Proceedings Third International Workshop on Computational Models for Cell Processes, 2011

HYPE with stochastic events
Proceedings of the Proceedings Ninth Workshop on Quantitative Aspects of Programming Languages, 2011

Hybrid Limits of Continuous Time Markov Chains.
Proceedings of the Eighth International Conference on Quantitative Evaluation of Systems, 2011

How many possible languages are there?
Proceedings of the Biology, Computation and Linguistics - New Interdisciplinary Paradigms, 2011

2010
Hybrid dynamics of stochastic programs.
Theor. Comput. Sci., 2010

Possibilistic Coding: Error Detection vs. Error Correction.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Hybrid Semantics for PEPA.
Proceedings of the QEST 2010, 2010

Perspectives on Constraints, Process Algebras, and Hybrid Systems.
Proceedings of the Workshop on Constraint Based Methods for Bioinformatics, 2010

Limit Behavior of the Hybrid Approximation of Stochastic Process Algebras.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010

2009
Dynamical Systems and Stochastic Programming: To Ordinary Differential Equations and Back.
Trans. Comp. Sys. Biology, 2009

Hybrid Dynamics of Stochastic pi-Calculus.
Math. Comput. Sci., 2009

CoBiC: Context-dependent Bioambient Calculus.
Proceedings of Seventh Workshop on Quantitative Aspects of Programming Languages, 2009

Hybrid Semantics of Stochastic Programs with Dynamic Reconfiguration
Proceedings of the Proceedings Second International Workshop on Computational Models for Cell Processes, 2009

HYPE: A Process Algebra for Compositional Flows and Emergent Behaviour.
Proceedings of the CONCUR 2009 - Concurrency Theory, 20th International Conference, 2009

Stochastic Programs and Hybrid Automata for (Biological) Modeling.
Proceedings of the Mathematical Theory and Computational Practice, 2009

2008
HYPE Applied to the Modelling of Hybrid Biological Systems.
Proceedings of the 24th Conference on the Mathematical Foundations of Programming Semantics, 2008

The Importance of Being (A Little Bit) Discrete.
Proceedings of the Second Workshop From Biology to Concurrency and Back, 2008

On the Approximation of Stochastic Concurrent Constraint Programming by Master Equation.
Proceedings of the Sixth Workshop on Quantitative Aspects of Programming Languages, 2008

Modeling Biological Systems in Stochastic Concurrent Constraint Programming.
Constraints An Int. J., 2008

Hybrid Systems and Biology.
Proceedings of the Formal Methods for Computational Systems Biology, 2008

Hybrid Semantics for Stochastic pi-Calculus.
Proceedings of the Algebraic Biology, Third International Conference, 2008

Computational Systems Biology with Constraints - Stochastic Modeling of Biological Systems with Concurrent Constraint Programming.
VDM, ISBN: 978-3-639-08875-5, 2008

2007
Constraint-based approaches to stochastic dynamics of biological systems.
PhD thesis, 2007

Agent-based protein structure prediction.
Multiagent Grid Syst., 2007

Stochastic Concurrent Constraint Programming and Differential Equations.
Proceedings of the Fifth Workshop on Quantitative Aspects of Programming Languages, 2007

Constraint-Based Simulation of Biological Systems Described by Molecular Interaction Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
Stochastic Concurrent Constraint Programming.
Proceedings of the 4th International Workshop on Quantitative Aspects of Programming Languages, 2006

Possibilistic Channels for DNA Word Design.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

BuST-Bundled Suffix Trees.
Proceedings of the Fourth IFIP International Conference on Theoretical Computer Science (TCS 2006), 2006

2005
A Distributed and Probabilistic Concurrent Constraint Programming Language.
Proceedings of the Logic Programming, 21st International Conference, 2005

Concurrent Methodologies for Global Optimization.
Proceedings of the Logic Programming, 21st International Conference, 2005

2004
Fuzzy Possibilities As Upper Previsions.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004


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