Zobrazeno 1 - 10
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pro vyhledávání: '"Lafuente A."'
We present Syndeo: a software framework for container orchestration of Ray on Slurm. In general the idea behind Syndeo is to write code once and deploy anywhere. Specifically, Syndeo is designed to addresses the issues of portability, scalability, an
Externí odkaz:
http://arxiv.org/abs/2409.17070
Autor:
Saad-Falcon, Jon, Lafuente, Adrian Gamarra, Natarajan, Shlok, Maru, Nahum, Todorov, Hristo, Guha, Etash, Buchanan, E. Kelly, Chen, Mayee, Guha, Neel, Ré, Christopher, Mirhoseini, Azalia
Inference-time techniques are emerging as highly effective tools to enhance large language model (LLM) capabilities. However, best practices for developing systems that combine these techniques remain underdeveloped due to our limited understanding o
Externí odkaz:
http://arxiv.org/abs/2409.15254
Publikováno v:
Proc. Natl. Acad. Sci. U.S.A. 121, e2318151121 (2024)
Halide perovskites emerged as a revolutionary family of high-quality semiconductors for solar energy harvesting and energy-efficient lighting. There is mounting evidence that the exceptional optoelectronic properties of these materials could stem fro
Externí odkaz:
http://arxiv.org/abs/2405.13188
Partially observable Markov Decision Processes (POMDPs) are a standard model for agents making decisions in uncertain environments. Most work on POMDPs focuses on synthesizing strategies based on the available capabilities. However, system designers
Externí odkaz:
http://arxiv.org/abs/2405.10768
We develop a framework inspired by Lauret's "bracket flow" to study the generalized Ricci flow, as introduced by Streets, on discrete quotients of Lie groups. As a first application, we establish global existence on solvmanifolds in arbitrary dimensi
Externí odkaz:
http://arxiv.org/abs/2404.15749
Autor:
Nasri, Nadia, Gutiérrez-Álvarez, Carlos, Lafuente-Arroyo, Sergio, Maldonado-Bascón, Saturnino, López-Sastre, Roberto J.
Continual learning (CL) is crucial for evaluating adaptability in learning solutions to retain knowledge. Our research addresses the challenge of catastrophic forgetting, where models lose proficiency in previously learned tasks as they acquire new o
Externí odkaz:
http://arxiv.org/abs/2404.07729
Autor:
Broccia, Giovanna, ter Beek, Maurice H., Lafuente, Alberto Lluch, Spoletini, Paola, Ferrari, Alessio
Context and Motivation Attack-Defense Trees (ADTs) are a graphical notation used to model and assess security requirements. ADTs are widely popular, as they can facilitate communication between different stakeholders involved in system security evalu
Externí odkaz:
http://arxiv.org/abs/2404.06386
This work explores a closure task in comics, a medium where visual and textual elements are intricately intertwined. Specifically, Text-cloze refers to the task of selecting the correct text to use in a comic panel, given its neighboring panels. Trad
Externí odkaz:
http://arxiv.org/abs/2403.03719
Attack Trees are a graphical model of security used to study threat scenarios. While visually appealing and supported by solid theories and effective tools, one of their main drawbacks remains the amount of effort required by security experts to desi
Externí odkaz:
http://arxiv.org/abs/2402.12040
Autor:
Casaluce, Roberto, Burattin, Andrea, Chiaromonte, Francesca, Lafuente, Alberto Lluch, Vandin, Andrea
We propose a novel methodology for validating software product line (PL) models by integrating Statistical Model Checking (SMC) with Process Mining (PM). Our approach focuses on the feature-oriented language QFLan in the PL engineering domain, allowi
Externí odkaz:
http://arxiv.org/abs/2401.13019