2 citations · 5 across the 14 of their papers we have counts for
14 papers
CHAL: Council of Hierarchical Agentic Language
Tommaso Giovannelli, Griffin D. Kent
Multi-agent debate has emerged as a promising approach for improving LLM reasoning on ground-truth tasks, yet current methodologies face certain structural limitations: debate tend…
Stochastic set-valued optimization and its application to robust learning
Tommaso Giovannelli, Jingfu Tan, Luis Nunes Vicente
In this paper, we develop a stochastic set-valued optimization (SVO) framework tailored for robust machine learning. In the SVO setting, each decision variable is mapped to a set o…
Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
S. Josyula, Y. Noiman, E. J. Payton +1
Designing shape memory alloys (SMAs) that meet performance targets while remaining affordable and sustainable is a complex challenge. In this work, we focus on optimizing SMA compo…
A stochastic gradient method for trilevel optimization
Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente
With the success that the field of bilevel optimization has seen in recent years, similar methodologies have started being applied to solving more difficult applications that arise…
Pareto sensitivity, most-changing sub-fronts, and knee solutions
Tommaso Giovannelli, Marcos Medeiros Raimundo, Luis Nunes Vicente
When dealing with a multi-objective optimization problem, identifying Pareto optimal solutions that capture relevant trade-offs may not be straightforward. Popular choices include…
Why is soccer so popular: Understanding underdog achievement and randomness in team ball sports
Luis Nunes Vicente, Thaksheel Alleck, Tommaso Giovannelli +2
In this paper, we examine team ball sports to investigate how the likelihood of weaker teams winning against stronger ones, referred to as underdog achievement, is influenced by in…
The limitation of neural nets for approximation and optimization
Tommaso Giovannelli, Oumaima Sohab, Luis Nunes Vicente
We are interested in assessing the use of neural networks as surrogate models to approximate and minimize objective functions in optimization problems. While neural networks are wi…
Bilevel optimization with a multi-objective lower-level problem: Risk-neutral and risk-averse formulations
Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente
In this work, we propose different formulations and gradient-based algorithms for deterministic and stochastic bilevel problems with conflicting objectives in the lower level. Such…
An integrated assignment, routing, and speed model for roadway mobility and transportation with environmental, efficiency, and service goals
Tommaso Giovannelli, Luis Nunes Vicente
Managing all the mobility and transportation services with autonomous vehicles for users of a smart city requires determining the assignment of the vehicles to the users and their…
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente
Two-level stochastic optimization formulations have become instrumental in a number of machine learning contexts such as continual learning, neural architecture search, adversarial…
Derivative-free methods for mixed-integer nonsmooth constrained optimization
Tommaso Giovannelli, Giampaolo Liuzzi, Stefano Lucidi +1
In this paper, we consider mixed-integer nonsmooth constrained optimization problems whose objective/constraint functions are available only as the output of a black-box zeroth-ord…
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department
A. De Santis, T. Giovannelli, S. Lucidi +2
Accurate modeling of the patient flow within an Emergency Department (ED) is required by all studies dealing with the increasing and well-known problem of overcrowding. Since Discr…
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
G. Fava, T. Giovannelli, M. Messedaglia +1
Emergency Departments (EDs) overcrowding is a well recognized worldwide phenomenon. The consequences range from long waiting times for visits and treatment of patients up to life-t…
Determining the optimal piecewise constant approximation for the Nonhomogeneous Poisson Process rate of Emergency Department patient arrivals
A. De Santis, T. Giovannelli, S. Lucidi +2
Modeling the arrival process to an Emergency Department (ED) is the first step of all studies dealing with the patient flow within the ED. Many of them focus on the increasing phen…