Telecomunicaciones, información y comunicación

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models

- Vision-Language Models (VLMs) are increasingly susceptible to sophisticated adversarial attacks, including adaptive strategies specifically designed to bypass existing defenses. To address this...

Extended Resolution Clause Learning via Dual Implication Points

- We present a new extended resolution clause learning (ERCL) algorithm, implemented as part of a conflict-driven clause-learning (CDCL) SAT solver, wherein new variables are dynamically introduced as...

BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement

- Low-light videos often exhibit spatiotemporally incoherent noise, compromising visibility and degrading performance in computer vision applications. A major challenge for enhancing such content using...

Vector Retrieval with Similarity and Diversity: How Hard Is It?

- Dense vector retrieval is an important building block of modern machine learning systems, underlying applications ranging from semantic search to retrieval-augmented generation and...

Simultaneous Online System Identification and Control using Composite Adaptive Lyapunov-Based Deep Neural Networks

- Although deep neural network (DNN)-based controllers are popularly used to control uncertain nonlinear dynamic systems, most results use DNNs that are pretrained offline and the corresponding...

Moonwalk: Inverse-Forward Differentiation

- Backpropagation's main limitation is its need to store intermediate activations (residuals) during the forward pass, which restricts the depth of trainable networks. This raises a fundamental...

Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks

- Integrated hydrogen-enriched compressed natural gas (HCNG) and active distribution network (ADN) is providing efficient and sustainable flexibility for consuming renewable energies. Yet, cross-sector...

Nonlinear Transformations Against Unlearnable Datasets

- Automated scraping stands out as a common method for collecting data in deep learning models without the authorization of data owners. Recent studies have begun to tackle the privacy concerns...

RT-NeRV: Rethinking Hybrid Neural Representations for Video via Residual Tokenization

- Neural Representations for Videos(NeRV) have emerged as a promising paradigm for video compression by representing videos as compact neural networks with efficient decoding. Hybrid NeRV methods...

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

- Post-hoc out-of-distribution (OOD) detection has garnered intensive attention in reliable machine learning. Many efforts have been dedicated to deriving score functions based on logits, distances, or...

Distributed Two-Phase Processing for Modular XL-MIMO with Wireless Fronthaul under Hardware Impairments

- Modular extremely large-scale MIMO (XL-MIMO) architectures combined with wireless fronthaul provide a scalable alternative to monolithic arrays, but their performance is sensitive to hardware...

Word-Level Modeling with Alignment-Aware Acoustic Fusion for Text-Assisted Intelligibility Prediction in Listeners with Hearing Loss

- We address text-assisted speech intelligibility prediction for hearing-impaired listeners in CPC3. Although the target is a sentence-level percentage, it is determined by reference-word recognition...

Frame-Aligned Fusion of Canary and WavLM for Non-Intrusive Intelligibility Prediction of Hearing-Aid-Processed Speech

- Non-intrusive intelligibility prediction estimates how well hearing-impaired listeners understand hearing-aid-processed speech without a clean reference. We study this task in the 3rd Clarity...

Ancilla-Efficient QSAMPLE Preparation for Reversible Markov Chains

- Preparing quantum samples (QSAMPLES), coherent encodings of stationary distributions of reversible Markov chains, is a fundamental primitive in quantum sampling, particularly for quantum simulated...

Optimal Design Framework for Distributed Array Using Magnetically-Actuated Satellite Swarm

- Distributed space antennas using electromagnetic formation flight (EMFF) are a promising architecture for large-aperture, long-life space communication systems. Their feasible aperture, however, is...

Constant-Envelope Quantized Precoding with Power Control for Cell-Free Massive MIMO-OFDM

- Cell-free massive MIMO has matured into a key candidate technology for 6G and beyond, owing to its ability to provide nearly uniform service quality to many user equipments (UEs) over the same...

A Commitment-based Authentication model for Key Exchange protocols

- In this work we construct an alternative model for Authenticated Key Exchange, intended to build a theoretic security framework for protocols whose characteristics may not always concur with the...

The complexity of Presburger arithmetic with power or powers

- We investigate expansions of Presburger arithmetic, i.e., the theory of the integers with addition and order, with additional structure related to exponentiation: either a function that takes a...

A Two-Branch Finite-Field Construction for Regular CSS LDPC Bases

- This paper develops a two-branch multiplicative-coset construction for regular Calderbank-Shor-Steane (CSS) quantum low-density parity-check base matrices. For a target column weight \(J\) and an...

Harnessing Individual Motivation for Collective Efficiency: A Mechanism-Driven Distributed Optimization Method

- In industrial scenarios involving multi-agent collective decision-making, centralized decision-making may not be admissible due to restrictive access to individual local information, while the...

IntegrateUnitary.jl: A Julia package for symbolic integration over Haar measures

- Symbolic integration over the Haar measure of compact groups is a computational cornerstone in quantum information science and random matrix theory. We present \texttt{