Zobrazeno 1 - 10
of 3 589
pro vyhledávání: '"P Severi"'
Autor:
Behzadi, Shakila, Ho, Jacquelin, Tanvir, Zainab, Haspel, Gal, Freifeld, Limor, Severi, Kristen E.
Expansion Microscopy is a super-resolution technique in which physically enlarging samples in an isotropic manner increases inter-molecular distances such that nano-scale structures can be resolved using light microscopy. This is particularly useful
Externí odkaz:
http://arxiv.org/abs/2411.06676
The covariance for clean data given a noisy observation is an important quantity in many conditional generation methods for diffusion models. Current methods require heavy test-time computation, altering the standard diffusion training process or den
Externí odkaz:
http://arxiv.org/abs/2410.11149
Autor:
Severi, Giorgio, Boboila, Simona, Holodnak, John, Kratkiewicz, Kendra, Izmailov, Rauf, De Lucia, Michael J., Oprea, Alina
The training phase of machine learning models is a delicate step, especially in cybersecurity contexts. Recent research has surfaced a series of insidious training-time attacks that inject backdoors in models designed for security classification task
Externí odkaz:
http://arxiv.org/abs/2407.08159
Data derived from the realm of the social sciences is often produced in digital text form, which motivates its use as a source for natural language processing methods. Researchers and practitioners have developed and relied on artificial intelligence
Externí odkaz:
http://arxiv.org/abs/2406.00393
Autor:
Chaudhari, Harsh, Severi, Giorgio, Abascal, John, Jagielski, Matthew, Choquette-Choo, Christopher A., Nasr, Milad, Nita-Rotaru, Cristina, Oprea, Alina
Retrieval Augmented Generation (RAG) expands the capabilities of modern large language models (LLMs), by anchoring, adapting, and personalizing their responses to the most relevant knowledge sources. It is particularly useful in chatbot applications,
Externí odkaz:
http://arxiv.org/abs/2405.20485
In the domains of image and audio, diffusion models have shown impressive performance. However, their application to discrete data types, such as language, has often been suboptimal compared to autoregressive generative models. This paper tackles the
Externí odkaz:
http://arxiv.org/abs/2405.17889
Retrosynthesis, the task of identifying precursors for a given molecule, can be naturally framed as a conditional graph generation task. Diffusion models are a particularly promising modelling approach, enabling post-hoc conditioning and trading off
Externí odkaz:
http://arxiv.org/abs/2405.17656
Autor:
Severi, Leonardo, Sacchetto, Matteo, Bianco, Andrea, Rottondi, Cristina, Knapinska, Aleksandra, Lechowicz, Piotr
In this paper we present a Networked Music Performance system currently under development at Politecnico di Torino. We demonstrate its use in a distributed concert held in June 2023, which featured three musicians in Turin (Italy) and three musicians
Externí odkaz:
http://arxiv.org/abs/2404.09665
We study the quantum properties of top quark pairs in lepton colliders with unpolarised beams, including spin correlations, entanglement, and violation of Bell inequalities. We present analytical results in the SM and in the SMEFT and discuss several
Externí odkaz:
http://arxiv.org/abs/2404.08049
The recent observation of entanglement between top and anti-top quarks at the LHC opens the way to interpreting collider data with quantum information tools. In this work we investigate the relevance of quantum observables in searches of new physics.
Externí odkaz:
http://arxiv.org/abs/2401.08751