no code implementations • 20 Mar 2023 • Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori
In its general formulation, MAQA can be potentially adopted as the quantum counterpart of all those models falling into the scheme of aggregation of multiple functions, such as ensemble algorithms and neural networks.
1 code implementation • 9 Mar 2023 • Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori
Quantum Computing offers a new paradigm for efficient computing and many AI applications could benefit from its potential boost in performance.
no code implementations • 8 Mar 2023 • Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori
The postulates of quantum mechanics impose only unitary transformations on quantum states, which is a severe limitation for quantum machine learning algorithms.
1 code implementation • 1 Sep 2021 • Paolo Tirotta, Stefano Lodi
We benchmark the results of the VAE-GAN model, and show the improvements brought by our RL finetuning on three widely used datasets for text generation, with results that greatly surpass the current state-of-the-art for the quality of the generated texts.
1 code implementation • Italian Conference on Theoretical Computer Science 2020 • Antonio Macaluso, Stefano Lodi, Claudio Sartori
The idea of ensemble learning is to build a prediction model by combining the strengths of a collection of simpler base models.
1 code implementation • 17 Jul 2020 • Ricardo Ñanculef, Francisco Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori
This paper investigates the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use.
Ranked #1 on Supervised Image Retrieval on CIFAR-10
1 code implementation • 2 Jul 2020 • Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori
We propose a new quantum algorithm that exploits quantum superposition, entanglement and interference to build an ensemble of classification models.
1 code implementation • 15 Jun 2020 • Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori
Quantum Computing leverages the laws of quantum mechanics to build computers endowed with tremendous computing power.
1 code implementation • 24 Oct 2015 • Emanuele Frandi, Ricardo Nanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens
Frank-Wolfe (FW) algorithms have been often proposed over the last few years as efficient solvers for a variety of optimization problems arising in the field of Machine Learning.