Telecomunicaciones, información y comunicación

Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability

- Stochastic Gradient Descent (SGD) often slows in the late stage of training due to anisotropic curvature and gradient noise. We analyze preconditioned SGD in the geometry induced by a symmetric...

Enhancing Energy and Spectral Efficiency in IoT-Cellular Networks via Active SIM-Equipped LEO Satellites

- This paper investigates a low Earth orbit (LEO) satellite communication system enhanced by an active stacked intelligent metasurface (ASIM), mounted on the backplate of the satellite solar panels to...

DiffCoord: Differentiable Coordination for Distributed Multi-Agent Trajectory Optimization

- Integrating the Alternating Direction Method of Multipliers (ADMM) with Differential Dynamic Programming (DDP) provides a scalable framework for distributed multi-agent trajectory optimization. In...

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems

- Bifurcation phenomena in nonlinear dynamical systems often lead to multiple coexisting stable solutions, particularly in the presence of symmetry breaking. Deterministic machine learning models are...

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

- Deploying reliable bioacoustic monitoring systems requires models that generalize under high-noise, low-SNR conditions and evaluation protocols that expose deployment-relevant failure modes, gaps...

PLaID++: A Preference Aligned Language Model for Targeted Inorganic Materials Design

- Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a promising approach to improve correctness in LLMs, however, in many scientific problems, the objective is not necessarily to...

Towards Efficient and Secure Cloud-Assisted Autonomous Systems: A Review of Architectures, Algorithms, Security, and Deployment Challenges

- Networked Control Systems (NCSs) have been instrumental in realizing fully connected and responsive intelligent environments within the context of real-time virtual control and management. However,...

GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments

- We present a cooperative aerial-ground search-and-rescue (SAR) framework that pairs two unmanned aerial vehicles (UAVs) with an unmanned ground vehicle (UGV) to achieve rapid victim localization and...

Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers

- Liquidity providers (LPs) are essential figures in the operation of automated market makers (AMMs); in exchange for transaction fees, LPs lend the liquidity that allows AMMs to operate. While many...

Structuring The Future: Diffusion LLM Speculative Decoding via Calibrated Draft Graphs

- Diffusion LLMs (dLLMs) have recently emerged as a powerful alternative to autoregressive LLMs (AR-LLMs) with the potential to operate at significantly higher token-generation rates. To unlock this...

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning

- Ride-hailing platforms face significant challenges in optimizing order dispatching and driver repositioning operations in dynamic urban environments. Traditional approaches based on combinatorial...

Deterministic-Allocation and Anonymous Joint Advertising in E-commerce Platforms

- With the advancement of machine learning, an increasing number of studies are employing automated mechanism design (AMD) methods for optimal auction design. However, all previous AMD architectures...

Periodic-MAE: Periodic Video Masked Autoencoder for rPPG Estimation

- In this paper, we propose Periodic-MAE, a self-supervised framework for learning generalizable spatio-temporal representations of periodic physiological signals from unlabeled facial videos. The...

Memory as a Service (MaaS): Purpose-Bound Memory Mediation for Cooperative Agents

- Agentic programming is code-centered, while its useful memory context extends beyond code. A programming agent may draw on memory from test, review, build, and release agents; design, product,...

How Reliable are Fairness Audits with Unreliable Data?

- Fairness audits are a key component of responsible machine-learning deployment. Yet, audit-recommendation reliability under incomplete protected-label access is still poorly understood. In this work,...

New algorithms for girth and cycle detection

- Let $G=(V,E)$ be an unweighted undirected graph with $n$ vertices and $m$ edges. Let $g$ be the girth of $G$, that is, the length of a shortest cycle in $G$. We present a randomized algorithm with a...

Single vs. Multiple Branches in DeepONet and S-DeepONet: Network Architecture Follows Coupling in Multiphysics Systems

- `Real-time prediction of complex physical systems requires surrogate models that learn from data while representing strong multiphysics coupling. Deep Operator Networks have shown success in...

QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy

- Learning 3D scene geometry and semantics from images is a core challenge in computer vision and a key capability for autonomous driving. Since large-scale 3D annotation is prohibitively expensive,...

Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video

- Learning soft continuum robot (SCR) dynamics from video offers flexibility but existing methods lack interpretability or rely on prior assumptions. Model-based approaches require prior knowledge and...

nlKrylov: A Unified Framework for Nonlinear GCR-type Krylov Subspace Methods

- In this paper, we introduce a unified framework for nonlinear Krylov subspace methods (\textit{nlKrylov}) to solve systems of nonlinear equations. Building on classical GCR-like/type linear Krylov...

Shallow neural network yields regularization for ill-posed inverse problems

- In this paper, we develop a regularization theory for neural network approximations of general ill-posed operator equations with noisy data. Within the framework of iterative regularization, we...