Telecomunicaciones, información y comunicación

Network-Realised Model Predictive Control Part I: NRF-Enabled Closed-loop Decomposition

- A two-layer control architecture is proposed to enable scalable implementations for constraint-based decision strategies, such as model predictive controllers. The bottom layer is based upon a...

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

- Understanding human behavior and society is a central focus in social sciences, with the rise of generative social science marking a significant paradigmatic shift. By leveraging bottom-up...

Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks

- Subspace inference for neural networks assumes that a subspace of their parameter space suffices to produce a reliable uncertainty quantification. In this work, we underpin the validity of this...

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space

- Graph Neural Networks (GNNs) have shown great success in various graph-based learning tasks. However, it often faces the issue of over-smoothing as the model depth increases, which causes all node...

Kolmogorov equations for evaluating the boundary hitting of degenerate diffusion with unsteady drift

- Jacobi diffusion is a representative diffusion process whose solution is bounded in a domain under certain drift and diffusion coefficient conditions. However, the process without such conditions has...

Graph Defense Diffusion Model

- Graph Neural Networks (GNNs) are highly vulnerable to adversarial attacks, which can greatly degrade their performance. Existing graph purification methods attempt to address this issue by filtering...

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight

- Autonomous drone racing has risen as a challenging robotic benchmark for testing the limits of learning, perception, planning, and control. Expert human pilots are able to fly a drone through a race...

Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges

- Current large language models (LLMs) often exhibit imbalances in multilingual capabilities and cultural adaptability, largely attributed to their English-centric pre-training data. In this paper, we...

FIT-GNN: Faster Inference Time for GNNs that 'FIT' in Memory Using Coarsening

- Scalability of Graph Neural Networks (GNNs) remains a significant challenge. To tackle this, methods like coarsening, condensation, and computation trees are used to train on a smaller graph,...

Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture

- Electrocardiogram (ECG) captures the heart's electrical signals, offering valuable information for diagnosing cardiac conditions. However, the scarcity of labeled data makes it challenging to...

The Complexity of Two-Team Polymatrix Games with Independent Adversaries

- Adversarial multiplayer games are an important object of study in multiagent learning. In particular, polymatrix zero-sum games are a multiplayer setting where Nash equilibria are known to be...

Risk-Averse Resilient Operation of Electricity Grid Under the Risk of Wildfire

- Wildfires and other extreme weather conditions due to climate change are stressing the aging electrical infrastructure. Power utilities have implemented public safety power shutoffs as a method to...

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

- Cooperative Multi-Agent Reinforcement Learning (MARL) necessitates seamless collaboration among agents, often represented by an underlying relation graph. Existing methods for learning this graph...

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias

- Social recommendation models weave social interactions into their design to provide uniquely personalized recommendation results for users. However, social networks not only amplify the popularity...

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient

- In this paper, we investigate a data-driven framework to solve Linear Quadratic Regulator (LQR) problems when the dynamics is unknown, with the additional challenge of providing stability...

Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification

- Authorship Verification (AV) is a key area of research in digital text forensics, which addresses the fundamental question of whether two texts were written by the same person. Numerous computational...

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy

- The recent development of connected and automated vehicle (CAV) technologies has spurred investigations to optimize dense urban traffic to maximize vehicle speed and throughput. This paper explores...

Instance complexity of Boolean functions

- In the area of query complexity of Boolean functions, the most widely studied cost measure of an algorithm is the worst-case number of queries made by it on an input. Motivated by the most natural...

Task-Distributionally Robust Data-Free Meta-Learning

- Data-Free Meta-Learning (DFML) aims to enable efficient learning of unseen few-shot tasks, by meta-learning from multiple pre-trained models without accessing their original training data. While...

Finding roots of complex analytic functions via generalized colleague matrices

- We present a scheme for finding all roots of an analytic function in a square domain in the complex plane. The scheme can be viewed as a generalization of the classical approach to finding roots of a...

An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting

- The accelerometer has become an almost ubiquitous device, providing enormous opportunities in healthcare monitoring beyond step counting or other average energy estimates in 15-60 second...