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pro vyhledávání: '"Papotti P."'
In this work we study how diffusion-based generative models produce high-dimensional data, such as an image, by implicitly relying on a manifestation of a low-dimensional set of latent abstractions, that guide the generative process. We present a nov
Externí odkaz:
http://arxiv.org/abs/2410.03368
Autor:
Corallo, Giulio, Papotti, Paolo
Recent large language model applications, such as Retrieval-Augmented Generation and chatbots, have led to an increased need to process longer input contexts. However, this requirement is hampered by inherent limitations. Architecturally, models are
Externí odkaz:
http://arxiv.org/abs/2408.00167
The use of AI technologies is percolating into the secure development of software-based systems, with an increasing trend of composing AI-based subsystems (with uncertain levels of performance) into automated pipelines. This presents a fundamental re
Externí odkaz:
http://arxiv.org/abs/2407.14540
We present an in-depth analysis of data discovery in data lakes, focusing on table augmentation for given machine learning tasks. We analyze alternative methods used in the three main steps: retrieving joinable tables, merging information, and predic
Externí odkaz:
http://arxiv.org/abs/2402.06282
Two-sample testing decides whether two datasets are generated from the same distribution. This paper studies variable selection for two-sample testing, the task being to identify the variables (or dimensions) responsible for the discrepancies between
Externí odkaz:
http://arxiv.org/abs/2311.01537
High-precision RF voltage measurements using longitudinal phase-space tomography in CERN PSB and SPS
Precisely determining the gap voltage and phase in an RF cavity is essential for the calibration of the LLRF feedbacks. Following the conventional approach, measured RF power is converted into gap voltage, assuming a given shunt impedance. However, p
Externí odkaz:
http://arxiv.org/abs/2310.16859
Publikováno v:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23) (2023) 11--24
The detection of fake news has received increasing attention over the past few years, but there are more subtle ways of deceiving one's audience. In addition to the content of news stories, their presentation can also be made misleading or biased. In
Externí odkaz:
http://arxiv.org/abs/2305.15790
In many use-cases, information is stored in text but not available in structured data. However, extracting data from natural language text to precisely fit a schema, and thus enable querying, is a challenging task. With the rise of pre-trained Large
Externí odkaz:
http://arxiv.org/abs/2304.00472
Autor:
Claudia Curcio, Gianluca Mucciolo, Cecilia Roux, Silvia Brugiapaglia, Alessandro Scagliotti, Giorgia Guadagnin, Laura Conti, Dario Longo, Demis Grosso, Mauro Giulio Papotti, Emilio Hirsch, Paola Cappello, Judith A. Varner, Francesco Novelli
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-13 (2024)
Abstract Phosphoinositide-3-kinase γ (PI3Kγ) plays a critical role in pancreatic ductal adenocarcinoma (PDA) by driving the recruitment of myeloid-derived suppressor cells (MDSC) into tumor tissues, leading to tumor growth and metastasis. MDSC also
Externí odkaz:
https://doaj.org/article/bb1468ffdb6c4868987a0ce661e0f623
Autor:
Serena Peirone, Elisa Tirtei, Anna Campello, Caterina Parlato, Simonetta Guarrera, Katia Mareschi, Elena Marini, Sebastian Dorin Asaftei, Luca Bertero, Mauro Papotti, Francesca Priante, Sarah Perrone, Matteo Cereda, Franca Fagioli
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionEwing Sarcoma (EWS) has been reported in seven children with Down syndrome (DS). To date, a detailed assessment of this solid tumour in DS patients is yet to be made.MethodsHere, we characterise a chemo-resistant mediastinal EWS in a 2-ye
Externí odkaz:
https://doaj.org/article/4b2a693d4f284bb7855d8b37a744d990