Telecomunicaciones, información y comunicación

RoboSSM: Scalable In-context Imitation Learning via State-Space Models

- In-context imitation learning (ICIL) enables robots to learn tasks from prompts consisting of just a handful of demonstrations. By eliminating the need for parameter updates at deployment time, this...

Influence-Guided Concolic Testing of Transformer Robustness

- Concolic testing for neural networks alternates concrete execution with constraint solving to search for inputs that flip model decisions. We present a concolic tester for Transformer classifiers...

Controlled Comparison of Machine Learning Models for Fault Classification and Localization in Power System Protection

- The increasing complexity of modern power systems, driven by the integration of inverter-based and distributed energy resources, challenges the reliability of conventional protection schemes and...

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining

- Effective data selection is essential for pretraining large language models (LLMs), enhancing efficiency and improving generalization to downstream tasks. However, existing approaches often require...

Control Allocation Algorithm for Hypersonic Glide Vehicles with Input Limitations

- Hypersonic glide vehicles (HGVs) operate in challenging flight regimes characterized by strong nonlinearities in actuation and stringent physical constraints. These include state-dependent actuator...

Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation

- From loco-motion to dextrous manipulation, humanoid robots have made remarkable strides in demonstrating complex full-body capabilities. However, the majority of current robot learning datasets and...

Acceleration AI Ethics and the Telus GenAI Conversational Agent

- Acceleration ethics addresses the tension between innovation and safety in artificial intelligence. The acceleration argument is that risks raised by innovation should be answered with still more...

A Unified Perspective on the Dynamics of Deep Transformers

- Transformers, which are state-of-the-art in most machine learning tasks, represent the data as sequences of vectors called tokens. This representation is then exploited by the attention function,...

Adversarial Dependence Minimization

- Minimally redundant representations are typically learned by minimizing feature covariance. However, covariance-based methods fail to eliminate all dependencies/redundancies, as linearly uncorrelated...

Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies

- The drastic changes in the global economy, geopolitical conditions, and disruptions such as the COVID-19 pandemic have impacted the cost of living and quality of life. It is essential to comprehend...

Simulation of Language Evolution under Regulated Social Media Platforms: A Synergistic Approach of Large Language Models and Genetic Algorithms

- Social media platforms frequently impose restrictive policies to moderate user content, prompting the emergence of creative evasion language strategies. This paper presents a multi-agent framework...

MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing

- We introduce MeshPad, a generative approach that creates 3D meshes from sketch inputs. Building on recent advances in artist-reminiscent triangle mesh generation, our approach addresses the need for...

A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

- Crashworthiness is a key performance measure in the design of safety-critical vehicle panel components such as B-pillars. Finite element (FE) simulations are widely used to evaluate crash responses...

Immersive and Wearable Thermal Rendering for Augmented Reality

- We present a proof-of-concept palm-mounted thermal feedback prototype addressing thermal rendering challenges specific to augmented reality (AR), where users must interact with both real and virtual...

HBS -- Hardware Build System: Characterizing and comparing direct-Tcl and indirect-abstract approaches for hardware build systems

- Build systems become an indispensable part of the software implementation and deployment process. New programming languages are released with the build system integrated into the language tools, for...

TerraMind: Large-Scale Generative Multimodality for Earth Observation

- We present TerraMind, the first any-to-any generative, multimodal foundation model for Earth observation (EO). Unlike other multimodal models, TerraMind is pretrained on dual-scale representations...

VibeCheck: Using Active Acoustic Tactile Sensing for Contact-Rich Manipulation

- The acoustic response of an object can reveal a lot about its global state, for example its material properties or the extrinsic contacts it is making with the world. In this work, we build an active...

Quantum preconditioning method for finite difference discretizations of the Poisson equation via Schrödingerization

- We present a quantum preconditioning framework for solving linear systems arising from a finite difference discretization of the Poisson equation. It is based on the combination of the...

FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail

- Accurate demand estimation is critical for the retail business in guiding the inventory and pricing policies of perishable products. However, it faces fundamental challenges from censored sales data...

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

- Auto-bidding is a critical tool for advertisers to improve advertising performance. Recent progress has demonstrated that AI-Generated Bidding (AIGB), which learns a conditional generative planner...

Efficient $varepsilon$-approximate minimum-entropy couplings

- Given $m \ge 2$ discrete probability distributions over $n$ states each, the minimum-entropy coupling is the minimum-entropy joint distribution whose marginals are the same as the input...