Telecomunicaciones, información y comunicación

Leveraging unlabelled data for generalizable neural population decoding

- Robust and accurate neural decoders are integral to neurotechnologies such as brain-computer interfaces and closed-loop experiments. Recent work has shown that tokenizing neural data at the spike...

VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders

- Video generative models commonly rely on latent spaces learned by 3D Variational Autoencoders (3D-VAEs). However, conventional 3D-VAEs are mainly optimized for pixel-level reconstruction, which can...

Linear Independent Component Analysis via Optimal Transport

- Linear Independent Component Analysis (ICA) recovers jointly independent source signals from their linear mixtures. To achieve this, classical ICA algorithms attempt to maximize non-Gaussianity,...

From Pixels to States: Rethinking Interactive World Models as Game Engines

- Building interactive worlds that respond coherently to player actions has long been a shared goal of computer graphics, games, and artificial intelligence. Recent video generative models provide a...

A modular state-space model of human perception, cognition, and decision dynamics

- Human-centered adaptive systems require behavioral models that are both psychologically interpretable and mathematically analyzable. Many existing predictors either operate as black-box input-output...

MetaPerch: Learning from metadata for bioacoustics foundation models

- Bioacoustic foundation models rely on large-scale citizen science platforms like Xeno-Canto for geographically and ecologically diverse data. Recent work has shown that supervision alone can produce...

VisualRepair: Dynamic Tool Calling and Region Focusing for Visual Software Issue Repair

- Automated Program Repair (APR) has witnessed significant progress with the advent of Large Language Models (LLMs). However, as modern software systems increasingly expose rich graphical user...

Adaptivity in Local Kernel Based Methods for Approximating Solutions to the Poisson Equation

- Expanding on the recent development of adaptive local kernel methods for approximating the action of linear operators, a local estimate of the error and an adaptive procedure for approximating...

An Epidemic Threshold Set for Networks

- In this paper, we investigate a discrete-time SIS epidemic model and the epidemic thresholds on complex networks. We focus on proposing a community-level epidemic threshold set and establishing a...

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models

- The emergence of Chain-of-Thought (CoT) reasoning has significantly enhanced the ability of large language models (LLMs) to tackle complex, multi-step tasks. However, when errors occur, current...

PhysClaw-0: A Symbiotic Agentic System for Robot Autonomy via Language Corrections

- Autonomous data collection governs the volume and quality of real-world trajectories for manipulation policy learning. Existing pipelines reduce human effort via self-resetting, VLM verification, or...

Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education

- This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on...

LLMs for Qualitative and Mixed-Methods Social Network Analysis

- This manuscript explores the integration of Large Language Models (LLMs) into the field of qualitative and mixed-methods social network analysis (SNA). We argue that the primary focus of this...

Multi-Expert Routing for Multi-Domain Low-Resource OCR: A Manchu Case Study

- Historical Manchu OCR must accommodate various visually distinct writing styles, including regular script, running script, and the semi-cursive chancery hand used in palace memorials, despite limited...

AI-accelerated End-to-End Framework for Rapid Professional Upskilling

- By 2030, 59 of every 100 workers will need reskilling or upskilling, yet the average time to close an enterprise skills gap grew from roughly 3 days in 2014 to 36 days in 2018. Most current...

Early Adoption of Agentic Coding Tools by GitHub Projects

- Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While...

Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation

- Automatic translation systems, from CAT tools to MT, overwhelmingly treat translation as a sentence-by-sentence act. This paper asks whether LLMs can be moved beyond that paradigm through...

Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023-2026)

- Generative Engine Optimization (GEO) seeks to increase content's presence, likelihood of citation, or influence in answers produced by generative engines. Since the foundational GEO paper, the...

SPECS: Speciated Evolutionary Circuit Synthesis

- We propose SPECS, a genetic algorithm for automated analog circuit synthesis with joint topology and sizing optimization. SPECS is inspired by NeuroEvolution of Augmenting Topologies (NEAT), an...

Exploiting Graph Structure for Near-Optimal Broadcasting

- Telephone broadcasting is a classical model for spreading information in a network. Given a connected graph $G(V,E)$ with source vertex $s$, each informed vertex may inform exactly one uninformed...

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study

- With rising global energy demand and growing awareness of climate change and its impacts, the share of renewable energies in the global energy mix continues to grow. Unlike conventional power...