Michele Lombardi

Orcid: 0000-0003-4709-8888

Affiliations:
  • University of Bologna, Italy


According to our database1, Michele Lombardi authored at least 96 papers between 2006 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem.
CoRR, 2023

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.
CoRR, 2023

Computational Asymmetries in Robust Classification.
Proceedings of the International Conference on Machine Learning, 2023

Generalized Disparate Impact for Configurable Fairness Solutions in ML.
Proceedings of the International Conference on Machine Learning, 2023

An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations.
Proceedings of the Computational Science - ICCS 2023, 2023

FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System.
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

A geometric framework for fairness.
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2022
Data-Driven Combinatorial Optimisation (Dagstuhl Seminar 22431).
Dagstuhl Reports, October, 2022

UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning.
CoRR, 2022

Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR, 2022

Strategies for Improving the Error Robustness of Convolutional Neural Networks.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022



Informed Deep Learning for Epidemics Forecasting.
Proceedings of the PAIS 2022, 2022

Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2022

2021
Integrated Offline and Online Decision Making under Uncertainty.
J. Artif. Intell. Res., 2021

Deep Learning for Virus-Spreading Forecasting: a Brief Survey.
CoRR, 2021

Preface.
Ann. Math. Artif. Intell., 2021

Contrastive Losses and Solution Caching for Predict-and-Optimize.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021

Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Teaching the Old Dog New Tricks: Supervised Learning with Constraints.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discrete solution pools and noise-contrastive estimation for predict-and-optimize.
CoRR, 2020

A Lagrangian Dual Framework for Deep Neural Networks with Constraints.
CoRR, 2020

An Analysis of Regularized Approaches for Constrained Machine Learning.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Lagrangian Duality for Constrained Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Injective Domain Knowledge in Neural Networks for Transprecision Computing.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hybrid Offline/Online Optimization Under Uncertainty.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Combining learning and optimization for transprecision computing.
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems.
Eng. Appl. Artif. Intell., 2019

A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Logic-Based Benders Decomposition for Super Solutions: An Application to the Kidney Exchange Problem.
Proceedings of the Principles and Practice of Constraint Programming, 2019

How to Tame Your Anticipatory Algorithm.
Proceedings of the Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

Anomaly Detection Using Autoencoders in High Performance Computing Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Scheduling-based power capping in high performance computing systems.
Sustain. Comput. Informatics Syst., 2018

How efficient is a global constraint in practice? - A fair experimental framework.
Constraints An Int. J., 2018

Methods for off-line/on-line optimization under uncertainty.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Boosting Combinatorial Problem Modeling with Machine Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

From Offline to Online Kidney Exchange Optimization.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

2017
A Visual Web Tool to Perform What-If Analysis of Optimization Approaches.
CoRR, 2017

Introduction to the CPAIOR 2017 fast track issue.
Constraints An Int. J., 2017

Empirical decision model learning.
Artif. Intell., 2017

Robust Optimization for Virtual Power Plants.
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines.
IEEE Trans. Parallel Distributed Syst., 2016

A lagrangian propagator for artificial neural networks in constraint programming.
Constraints An Int. J., 2016

Predictive Modeling for Job Power Consumption in HPC Systems.
Proceedings of the High Performance Computing - 31st International Conference, 2016

DARDIS: Distributed And Randomized DIspatching and Scheduling.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Non-linear Optimization of Business Models in the Electricity Market.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2016

The Multirate Resource Constraint.
Proceedings of the Principles and Practice of Constraint Programming, 2016

2015
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot!
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Understanding the Potential of Propagators.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2015

Embedding Decision Trees and Random Forests in Constraint Programming.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2015

Deterministic Estimation of the Expected Makespan of a POS Under Duration Uncertainty.
Proceedings of the Principles and Practice of Constraint Programming, 2015

Power Capping in High Performance Computing Systems.
Proceedings of the Principles and Practice of Constraint Programming, 2015

A CP Scheduler for High-Performance Computers.
Proceedings of the Doctoral Consortium (DC) co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), 2015

2014
Strategic decision making on complex systems.
Constraints An Int. J., 2014

CROSS cyclic resource-constrained scheduling solver.
Artif. Intell., 2014

Cost Impact Guided LNS.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

Disregarding Duration Uncertainty in Partial Order Schedules? Yes, We Can!
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

Proactive Workload Dispatching on the EURORA Supercomputer.
Proceedings of the Principles and Practice of Constraint Programming, 2014

2013
Robust Scheduling of Task Graphs under Execution Time Uncertainty.
IEEE Trans. Computers, 2013

Maximum-throughput mapping of SDFGs on multi-core SoC platforms.
J. Parallel Distributed Comput., 2013

A New Propagator for Two-Layer Neural Networks in Empirical Model Learning.
Proceedings of the Principles and Practice of Constraint Programming, 2013

A Simple and Effective Decomposition for the Multidimensional Binpacking Constraint.
Proceedings of the Principles and Practice of Constraint Programming, 2013

De-Cycling Cyclic Scheduling Problems.
Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

2012
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey.
Constraints An Int. J., 2012

A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling.
Artif. Intell., 2012

Global Cyclic Cumulative Constraint.
Proceedings of the Integration of AI and OR Techniques in Contraint Programming for Combinatorial Optimzation Problems, 2012

The Weighted Average Constraint.
Proceedings of the Principles and Practice of Constraint Programming, 2012

Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Deriving Information from Sampling and Diving.
Fundam. Informaticae, 2011

Optimal resource allocation and scheduling for the CELL BE platform.
Ann. Oper. Res., 2011

Precedence Constraint Posting for Cyclic Scheduling Problems.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2011

A Constraint Based Approach to Cyclic RCPSP.
Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

Neuron Constraints to Model Complex Real-World Problems.
Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

MPOpt-Cell: a high-performance data-flow programming environment for the CELL BE processor.
Proceedings of the 8th Conference on Computing Frontiers, 2011

2010
Hybrid Methods for Resource Allocation and Scheduling Problems in Deterministic and Stochastic Environments.
PhD thesis, 2010

Stochastic allocation and scheduling for conditional task graphs in multi-processor systems-on-chip.
J. Sched., 2010

Allocation and scheduling of Conditional Task Graphs.
Artif. Intell., 2010

An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms.
Proceedings of the Design, Automation and Test in Europe, 2010

Constraint Based Scheduling to Deal with Uncertain Durations and Self-Timed Execution.
Proceedings of the Principles and Practice of Constraint Programming - CP 2010, 2010

Methods for Designing Reliable Probe Arrays.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

Discrepancy-Based Sliced Neighborhood Search.
Proceedings of the Artificial Intelligence: Methodology, 2010

2009
Robust non-preemptive hard real-time scheduling for clustered multicore platforms.
Proceedings of the Design, Automation and Test in Europe, 2009

Throughput Constraint for Synchronous Data Flow Graphs.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2009

A Precedence Constraint Posting Approach for the RCPSP with Time Lags and Variable Durations.
Proceedings of the Principles and Practice of Constraint Programming, 2009

2008
Cellflow: A Parallel Application Development Environment with Run-Time Support for the Cell BE Processor.
Proceedings of the 11th Euromicro Conference on Digital System Design: Architectures, 2008

Multi-stage Benders Decomposition for Optimizing Multicore Architectures.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2008

A Constraint Programming Approach for Allocation and Scheduling on the CELL Broadband Engine.
Proceedings of the Principles and Practice of Constraint Programming, 2008

2007
Communication-aware stochastic allocation and scheduling framework for conditional task graphs in multi-processor systems-on-chip.
Proceedings of the 7th ACM & IEEE International conference on Embedded software, 2007

Scheduling Conditional Task Graphs.
Proceedings of the Principles and Practice of Constraint Programming, 2007

Optimal Multi-Agent Scheduling with Constraint Programming.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Stochastic Allocation and Scheduling for Conditional Task Graphs in MPSoCs.
Proceedings of the Principles and Practice of Constraint Programming, 2006


  Loading...