Blog
Morphisms and BWT-run Sensitivity
We study how the application of injective morphisms affects the number $r$ of equal-letter runs in the Burrows-Wheeler Transform (BWT). This parameter has emerged as a key repetitiveness measure in compressed indexing. We focus on the notion of BWT-run sensitivity after application...
Adaptive Orchestration of Modular Generative Information Access Systems
Advancements in large language models (LLM) have driven the emergence of complex new systems to provide access to information, that we will collectively refer to as modular generative information access (GenIA) sistemi. They integrate a broad and evolving range of specialized components,...
An approach based on metaheuristic algorithms to the timetabling problem in deregulated railway markets
The train timetabling problem in liberalized railway markets represents a challenge to the coordination between infrastructure managers and railway undertakings. Efficient scheduling is critical in maximizing infrastructure capacity and utilization while adhering as closely as possible to the requests of railway undertakings....
A Lightweight Method for Generating Multi-Tier JIT Compilation Virtual Machine in a Meta-Tracing Compiler Framework
Meta-compiler frameworks, such as RPython and Graal/Truffle, generate high-performance virtual machines (VMs) from interpreter definitions. Although they generate VMs with high-quality just-in-time (JIT) compilers, they still lack an important feature that dedicated VMs (i.e., VMs that are developed for specific languages) have,...
Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience
Climate change increases the frequency of extreme rainfall, placing a significant strain on urban infrastructures, especially Combined Sewer Systems (CSS). Overflows from overburdened CSS release untreated wastewater into surface waters, posing environmental and public health risks. Although traditional physics-based models are effective,...
On soliton resolution to Cauchy problem of the spin-1 Gross-Pitaevskii equation
We investigate the Cauchy problem for the spin-1 Gross-Pitaevskii(GP) equation, which is a model instrumental in characterizing the soliton dynamics within spinor Bose-Einstein condensates. Recentemente, Geng $etal.$ (Comune. Math. Phys. 382, 585-611 (2021)) reported the long-time asymptotic result with error $\mathcal{O}(\frac{\log t}t)$...
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Gossip Learning (GL) is a decentralized learning paradigm where users iteratively exchange and aggregate models with a small set of neighboring peers. Recent GL approaches rely on dynamic communication graphs built and maintained using Random Peer Sampling (RPS) protocols. Thanks to graph...
Probabilistic modeling of delays for train journeys with transfers
Reliability plays a key role in the experience of a rail traveler. The reliability of journeys involving transfers is affected by the reliability of the transfers and the consequences of missing a transfer, as well as the possible delay of the train...
Prototype-enhanced prediction in graph neural networks for climate applications
Data-driven emulators are increasingly being used to learn and emulate physics-based simulations, reducing computational expense and run time. Qui, we present a structured way to improve the quality of these high-dimensional emulated outputs, through the use of prototypes: an approximation of the...
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
Traditional time-series forecasting often focuses only on minimizing prediction errors, ignoring the specific requirements of real-world applications that employ them. This paper presents a new training methodology, which allows a forecasting model to dynamically adjust its focus based on the importance of...