Telecomunicaciones, información y comunicación

Counting equitable $k$-colorings in graphs of bounded clique-width

- For a graph $G$, a proper $k$-coloring of $G$ is \emph{equitable} if the sizes of any two color classes differ by at most one. The \textsc{Equitable $k$-Coloring} problem asks, for a given graph $G$...

Numerical Approximation for Path-Dependent McKean-Vlasov Control with Non-Asymptotic Error Estimates

- Path-dependent McKean--Vlasov (MKV) control models large interacting populations with history-dependent dynamics and costs. This paper develops a unified approximation-and-learning framework for...

Quantum group codes for non-Clifford logic: enhanced decoding, addressability and parallelizability

- We introduce a framework based on classical quasi group codes to define a class of quantum CSS codes, called quantum group codes, supporting transversal multi-control-$Z$ gates which are both...

Adaptive Intellect Unleashed: The Feasibility of Knowledge Transfer in Large Language Models

- We conduct the first empirical study on using knowledge transfer to improve the generalization ability of large language models (LLMs) in software engineering tasks, which often require LLMs to...

Consistent Distributed Ranking of Generative Models via Kernel Distances

- Ranking generative models based on the fidelity and diversity of their outputs is required to identify the best generator in a group of candidate generative AI models. To rank a group of models in a...

SoK: Security Below the OS -- A Security Analysis of UEFI

- The Unified Extensible Firmware Interface (UEFI) is a linchpin of modern computing systems, governing secure system initialization and booting. This paper is urgently needed because of the surge in...

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study

- Mobile apps have become essential, making quality assurance increasingly important. GUI testing is widely used for automated exploration, yet text-input components remain a major obstacle, as many UI...

Gradient Testing and Estimation by Comparisons

- We study gradient testing and gradient estimation of smooth functions using only a comparison oracle that, given two points, indicates which one has the larger function value. For any smooth...

Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis

- Thanks to their extensive capacity, over-parameterized neural networks exhibit superior predictive capabilities and generalization. However, having a large parameter space is considered one of the...

Decentralized Best-Response-Based Learning in Two-Player Zero-Sum Stochastic Games: A Finite-Sample Analysis

- We present a finite-sample analysis of decentralized learning in two-player zero-sum matrix games and stochastic games, with a focus on best-response-based learning algorithms. In matrix games, the...

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning

- Federated Learning (FL) emerges as a distributed machine learning approach that addresses privacy concerns by training AI models locally on devices. Decentralized Federated Learning (DFL) extends the...

Adversarial Robustness of AI-Generated Image Detectors in the Real World

- The rapid advancement of Generative Artificial Intelligence (GenAI) capabilities is accompanied by a concerning rise in its misuse. In particular the generation of credible misinformation in the form...

Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization

- Distributed-memory implementations of numerical optimization algorithm, such as stochastic gradient descent (SGD), require interprocessor communication at every iteration of the algorithm. On modern...

Generating Special Triangulations with Transformers

- Triangulations, i.e., well-structured decompositions of geometric objects into triangle-like pieces, are central objects in many domains of mathematics and physics. In particular, fine, regular, and...

pyDOF: a Python library for the design of discrete forward and inverse filters

- In this work, we present pyDOF, a Python-based software library which provides a domain-specific framework for the design of symmetric, physical-space, forward as well as inverse discrete filters....

Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy

- Graphs provide a natural language for relational data in chemistry, biology and optimisation. Graph neural networks (GNNs) have driven much of the recent progress in learning from such data through...

Enabling self-supervised learned primal dual with Noise2Inverse

- X-ray computed tomography reconstruction is an ill-posed inverse problem, particularly in low-dose and sparse-angle settings where measurements are noisy and incomplete. While learned reconstruction...

Deterministic and Efficient Ideal Arithmetic via Two-Element Representations

- Given an ideal in a number field, it is desirable in many situationsto find two elements that generate the ideal over the ring of theintegers of the field. Existing algorithms are either...

Inverse Design of Compact and Wideband Inverted Doherty Power Amplifiers Using Deep Learning

- This paper presents a deep learning-assisted methodology for the inverse synthesis of a compact, wideband inverted Doherty power amplifier (PA). Convolutional neural networks (CNNs) and genetic...

Solarsystem: A Validated Lightweight Python Package for Planetary Positions and Solar-Lunar Event Calculations

- This paper presents solarsystem, a validated lightweight and dependency-free Python package for planetary positions and solar-lunar event calculations. The package provides heliocentric and...

An Evaluation of ABR Switching for Time-Shifted Clients in MoQ

- Media over QUIC enables ultra low latency video streaming over QUIC, but its default quality-switching semantics risk introducing playback gaps during periods of network congestion. The in-progress...