Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Simonetto, Andrea"'
Unitary and non-unitary diagonal operators are fundamental building blocks in quantum algorithms with applications in the resolution of partial differential equations, Hamiltonian simulations, the loading of classical data on quantum computers (quant
Externí odkaz:
http://arxiv.org/abs/2404.02819
Effective collaboration among heterogeneous clients in a decentralized setting is a rather unexplored avenue in the literature. To structurally address this, we introduce Model Agnostic Peer-to-peer Learning (coined as MAPL) a novel approach to simul
Externí odkaz:
http://arxiv.org/abs/2403.19792
Autor:
Simonetto, Andrea
Can we allow humans to pick among different, yet reasonably similar, decisions? Are we able to construct optimization problems whose outcome are sets of feasible, close-to-optimal decisions for human users to pick from, instead of a single, hardly ex
Externí odkaz:
http://arxiv.org/abs/2403.03847
Autor:
Mauduit, Eliabelle, Simonetto, Andrea
Motivated by extracting and summarizing relevant information in short sentence settings, such as satisfaction questionnaires, hotel reviews, and X/Twitter, we study the problem of clustering words in a hierarchical fashion. In particular, we focus on
Externí odkaz:
http://arxiv.org/abs/2312.04209
Variational quantum algorithms have been advocated as promising candidates to solve combinatorial optimization problems on near-term quantum computers. Their methodology involves transforming the optimization problem into a quadratic unconstrained bi
Externí odkaz:
http://arxiv.org/abs/2307.16756
Autor:
Perotti, Elisabetta, Ospina, Ana M., Bianchin, Gianluca, Simonetto, Andrea, Dall'Anese, Emiliano
Governments, regulatory bodies, and manufacturers are proposing plans to accelerate the adoption of electric vehicles (EVs), with the goal of reducing the impact of greenhouse gases and pollutants from internal combustion engines on human health and
Externí odkaz:
http://arxiv.org/abs/2305.02419
Autor:
Fabiani, Filippo, Simonetto, Andrea
Modern socio-technical systems typically consist of many interconnected users and competing service providers, where notions like market equilibrium are tightly connected to the ``evolution'' of the network of users. In this paper, we model the users
Externí odkaz:
http://arxiv.org/abs/2303.07241
Autor:
Simonetto, Andrea, Massioni, Paolo
We look at a stochastic time-varying optimization problem and we formulate online algorithms to find and track its optimizers in expectation. The algorithms are derived from the intuition that standard prediction and correction steps can be seen as a
Externí odkaz:
http://arxiv.org/abs/2301.13646
Transmission-constrained problems in power systems can be cast as polynomial optimization problems whose coefficients vary over time. We consider the complications therein and suggest several approaches. On the example of the alternating-current opti
Externí odkaz:
http://arxiv.org/abs/2211.02939
Autor:
Simonetto, Andrea, Notarnicola, Ivano
Publikováno v:
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Equipping current decision-making tools with notions of fairness, equitability, or other ethically motivated outcomes, is one of the top priorities in recent research efforts in machine learning, AI, and optimization. In this paper, we investigate ho
Externí odkaz:
http://arxiv.org/abs/2206.12333