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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorGaratti Simone
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/04 - Systems And Control Engineering
Curriculum VitaeDownload CV (455.42Kb - 18/01/2022)
OrcIDhttps://orcid.org/0000-0002-5451-6892

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Dipartimento di Elettronica, Informazione e Bioingegneria2--ThursdayFrom 16:00
To 18:00
3650--Please send an email to simone.garatti@polimi.it to arrange an in-person appointment or an online meeting. Please note that office hours are not limited to Thursdays.
E-mailsimone.garatti@polimi.it
Professor's personal websitehttps://garatti.faculty.polimi.it/

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Non-convex scenario optimization (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data (Show >>)
No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection (Show >>)
Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design (Show >>)
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance (Show >>)
Journal Articles
Complexity is an effective observable to tune early stopping in scenario optimization (Show >>)
Compression, Generalization and Learning (Show >>)
ON CONDITIONAL RISK ASSESSMENTS IN SCENARIO OPTIMIZATION (Show >>)
On the sensitivity of linear resource sharing problems to the arrival of new agents (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints (Show >>)
Compression at the service of learning: a case study for the Guaranteed Error Machine (Show >>)
Journal Articles
Optimal steady-state disturbance compensation for constrained linear systems: the Gaussian noise case (Show >>)
Risk and complexity in scenario optimization (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Deep learning for fault detection in transformers using vibration data (Show >>)
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems (Show >>)
On the consistency of the risk evaluation in the scenario approach (Show >>)
The risk of making decisions from data through the lens of the scenario approach (Show >>)
Journal Articles
A theory of the risk for optimization with relaxation and its application to support vector machines (Show >>)
The scenario approach: A tool at the service of data-driven decision making (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Machine Learning approach to fault detection in transformers by using vibration data (Show >>)
A scenario-based approach to multi-agent optimization with distributed information (Show >>)
A study on majority-voting classifiers with guarantees on the probability of error (Show >>)
An incremental scenario approach for building energy management with uncertain occupancy (Show >>)
Scenario optimization with relaxation: A new tool for design and application to machine learning problems (Show >>)
Journal Articles
A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints (Show >>)
Distributed optimization for structured programs and its application to energy management in a building district (Show >>)
manifesti v. 3.5.17 / 3.5.17
Area Servizi ICT
20/04/2024