Telecomunicaciones, información y comunicación
SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation
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Continuous-latent autoregressive speech generation has emerged as a promising alternative to discrete-token modeling by avoiding quantization loss and preserving richer acoustic information. However,...
Towards a Theoretical Understanding of Two Tower Recommendation Models
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Production-grade recommender systems rely heavily on a large-scale corpus used by online media services, including Netflix, Pinterest, and Amazon. These systems enrich recommendations by learning...
Optimization-based Proof of Useful Work: Framework, Modeling, and Security Analysis
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Proof of Work (PoW) has extensively served as the foundation of blockchain's security, consistency, and tamper-resistance, but long has it been criticized for its tremendous and inefficient...
A Dichotomy for Maximum PCSPs on Graphs
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Fix two non-empty loopless graphs $G$ and $H$ such that $G$ maps homomorphically to $H$. The Maximum Promise Constraint Satisfaction Problem parameterised by $G$ and $H$ is the following...
Predictable by Design, Vulnerable by Nature: Security Consequences of Learnability in UAV State Estimators
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If a mathematical function can be learned from its input/output behavior alone, can an adversary exploit that ``learnability'' to compromise it? What if the function is core to estimating the...
How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures
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AI-generated music is increasingly used at the stem level, with producers integrating synthetic drums, basslines, or vocals alongside human-performed instruments. However, current AI music detection...
GPU-Accelerated Orbit Propagation with High-Fidelity Solar Radiation Pressure Modeling
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Solar Radiation Pressure (SRP), the force exerted by photons emitted by the Sun, is one of the main non-gravitational perturbations affecting spacecraft trajectories, making its accurate modeling...
Assessing AI-generated music detection in real-world broadcast monitoring
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The proliferation of AI-generated music in broadcast media raises concerns about transparency and fair compensation, but reliable detection under real broadcast conditions remains unresolved....
Maximizing Algebraic Connectivity with $2(n-2)$ Edges: The Large Vertex Number Case
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Kolokolnikov conjectured that, among finite simple graphs on $n$ vertices with exactly $2(n-2)$ edges, the complete bipartite graph $K_{2,n-2}$ maximizes algebraic connectivity. We prove the...
Measurements Automatically Extracted from Zero Echo Time MRI Using Deep Learning Image Segmentation and Geometric Modeling Agree with Expert Manual Readings
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Computed tomography (CT) remains the reference for 3D osseous morphometry in femoroacetabular impingement (FAI) but requires ionizing radiation and manual measurement. Zero echo time (ZTE) MRI...
RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting
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Accurate user equipment (UE) localization is critical for beam management in reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) based sixth-generation (6G) networks,...
DynaCrys: Crystal Generation with Dynamic Space-Group Diffusion
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The search for new crystalline materials spans an enormous compositional and structural space. Generating candidates in this space requires jointly modeling discrete crystallographic symmetry,...
Reading Copom's Tone: A Weighted LLM Framework for Hawkish-Dovish Sentiment, Forward Guidance, and Uncertainty
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This paper documents an applied natural-language-processing framework for measuring the tone of Brazilian Monetary Policy Committee (Copom) statements. The project is explicitly inspired by iSent,...
Free-Horizon Newton Method for Nonlinear Optimal Control
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This paper presents a novel trajectory optimization method for nonlinear l1-optimal control problems in which the control horizon is treated as a free variable, allowing both the control duration and...
Optimized Certainty Equivalent Risk Minimization Using Samples: Algorithms, Convergence Rates, and Applications
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We consider the optimization of the Optimized Certainty Equivalent (OCE) risk, with applications including portfolio optimization in finance, and uncertainty quantification, classification, and...
Autonomous discovery of accelerator commissioning algorithms
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Simulated commissioning has become essential for de-risking modern light-source design and commissioning, but the procedures being simulated are still designed entirely by human experts. Their...
Rate-Fidelity Control for Wide-Area Quantum Links
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Quantum network links must distribute entanglement at high rates while satisfying application-specified fidelity demands. However, wide-area deployed fiber links suffer from polarization drift which...
Establishing Boundary KKT Convergence of Mirror Descent through Reparameterization
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We prove that mirror descent converges to a KKT point for the nonconvex problem without excluding boundary limits. The result holds under verifiable conditions that jointly couple the objective, the...
Artificial Intelligence Can Match Domain Experts in Evidence Extraction and Critical Appraisal of Microbial Oncogenesis Research Publications
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Confirmed oncogenic microbes contribute significantly to cancer burden. Identifying novel microbial oncogenicity could yield strategies that will reduce disease burdens. However, relevant evidence is...
Monte Carlo methods on compact symplectic manifolds
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We build an unbiased Monte Carlo estimator of the integral of any $C^1$ function on a prequantized compact symplectic manifold against a smooth Riemannian volume form, taking for quadrature nodes the...
On the Radical Computation of Parametric Ideals over Finite Fields
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Matsumoto's algorithm for computing the radical of a polynomial ideal is generalized to the parametric setting within the framework of symbolic computation. The main tool is a comprehensive...
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