Telecomunicaciones, información y comunicación

Design optimization and robustness analysis of rigid-link flapping mechanisms

- Rigid link flapping mechanisms remain the most practical choice for flapping wing micro-aerial vehicles (MAVs) to carry useful payloads and onboard batteries for free flight due to their long-term...

($θ_l, θ_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces

- Multi-task optimization is typically characterized by a fixed and finite set of tasks. The present paper relaxes this condition by considering a non-fixed and potentially infinite set of optimization...

From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing

- This review examines neural operator architectures for learning solution operators of parametric partial differential equations (PDEs), with an emphasis on conceptual clarity and practical...

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

- Large language models (LLMs) integrated with retrieval-augmented generation (RAG) have improved factuality by grounding outputs in external evidence. However, they remain susceptible to unfaithful...

FunHOI: Annotation-Free 3D Hand-Object Interaction Generation via Functional Text Guidance

- Hand-object interaction(HOI) is the fundamental link between human and environment, yet its dexterous and complex pose significantly challenges for gesture control. Despite significant advances in AI...

Software Security in Software-Defined Networking: A Systematic Literature Review

- Software-defined networking (SDN) separates the control plane from the data plane and exposes the network through software applications and open APIs. The same programmability that drove its adoption...

Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact

- LLMs are rapidly transitioning from research prototypes to core components in production systems across industries such as finance and healthcare. These deployments rely on a growing ecosystem of...

GERD: Geometric event response data generation

- Event-based vision sensors offer high temporal resolution, high dynamic range, and low power consumption, yet event-based vision models lag behind conventional frame-based vision methods. We argue...

Goal-Driven Reasoning in DatalogMTL with Magic Sets

- DatalogMTL is a powerful rule-based language for temporal reasoning. Due to its high expressive power and flexible modeling capabilities, it is suitable for a wide range of applications, including...

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

- High-fidelity surface reconstruction from multi-view images is a core problem in 3D computer vision. While neural implicit surfaces like SDFs offer smooth geometry, they are often bottlenecked by the...

Koopman-informed recurrent neural networks

- Recurrent neural networks are a successful neural architecture for many time-dependent problems, including time series analysis, forecasting, and modeling of dynamical systems. In the context of...

Adaptive and Robust Watermark for Generative Tabular Data

- In recent years, watermarking generative tabular data has become a prominent framework to protect against the misuse of synthetic data. However, while most prior work in watermarking methods for...

The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis

- Developing and certifying safe - or so-called trustworthy - AI has become an increasingly salient issue, especially in light of upcoming regulation such as the EU AI Act. In this context, the...

Pre-assignment problem for unique minimum vertex cover on bounded clique-width graphs

- Horiyama et al. (AAAI 2024) considered the problem of generating instances with a unique minimum vertex cover under certain conditions. The Minimum Pre-assignment for Uniquification of Minimum Vertex...

Open-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

- Object-oriented embodied navigation tasks require agents to locate specific objects, either defined by category or images, in unseen environments. While recent methods have made progress in extending...

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

- Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning....

Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network

- Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, this paper proposes...

Conformal Predictive Programming for Chance Constrained Optimization

- We propose conformal predictive programming (CPP), a framework to solve chance constrained optimization problems, i.e., optimization problems with constraints that are functions of random variables....

Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs

- This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural...

Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents

- We introduce \emph{Calibrated Stackelberg Games (CSGs)}, a generalization of the standard Stackelberg Games (SGs) framework. In CSGs, a principal repeatedly interacts with an agent who (contrary to...

Retrieval of Scientific and Technological Resources for Experts and Scholars

- Institutions of higher learning, research institutes and other scientific research units have abundant scientific and technological resources of experts and scholars, and these talents with great...