Telecomunicaciones, información y comunicación

Degeneracy-Guided List Compression for Greedy Graph Coloring

- We study degeneracy guided list compression for greedy graph coloring when graph structure is available before colors are sampled. Our exposure calibrated ordering framework assigns each vertex an...

Federated Lightweight Intrusion Detection in Drone Swarms with Knowledge Distillation

- Drone swarms are increasingly deployed in critical applications such as surveillance, disaster response, and infrastructure monitoring. However, their reliance on open communication channels and...

Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs?

- Large language model (LLM) code explanations can support people in solving code-related problems, yet prior work has shown that people have diverse problem-solving styles. If explanations fail to...

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

- Air pollution and climate-related stressors are increasingly important concerns for respiratory health, especially in settings with unequal environmental exposure and healthcare capacity. This study...

Increasing Line Outage Localization Performance with Ensemble Classifiers

- In many cases, the outage of one transmission line in a system can be localized by monitoring the power flow of another line, and machine learning methods can be used to distinguish the cases under...

Schema-Bound LLM Control of Scientific Instrumentation through Model Context Protocol Skills

- Large language models (LLMs) can plan tool-mediated scientific work, but scientific instruments remain difficult to connect to such agents: vendor APIs may load only inside acquisition host...

WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture

- As scalability becomes increasingly important in recommendation modeling, recent architectures have advanced the modeling of two broad sources of ranking signals along separate paths: non-sequence...

Regularize or Localize: When Training-Time KV-Cache Geometry Pays Under Quantization

- We study whether \sigreg -- LeJEPA's anti-collapse objective -- can reshape representations during standard autoregressive language-model pretraining, and when the resulting geometry helps...

Scalable Causal Imitation Learning

- Imitation learning enables learning a policy in an unknown environment with a latent reward signal using expert demonstrations, but it struggles when the imitator's and expert's observations...

Provably Good Prim-Dijkstra Revisited: New Theory and a Practical Algorithm for a Classical VLSI Routing Problem with LLMs

- Large language models may make precise but dormant algorithmic problems practical to revisit, and may expose new paths toward fundamental ones. We demonstrate this possibility through Prim-Dijkstra...

User-Driven Learning from Demonstration: A Trajectory and Impedance Learning Method

- This paper presents a method for user-driven robot Learning from Demonstration (LfD) that reduces user effort while ensuring compliant and precise reproduction. The method eliminates repeated...

Censorship Resistance and Throughput with Multiple Concurrent Proposers

- Censorship resistance is the defining advantage of blockchains over their centralized counterparts. Yet block proposers censor transactions for many reasons, from legal consequences to economic...

STEM2: A Fast and Space-efficient Data Structure for Exact Multi-Set Membership Query

- Multi-set membership queries are ubiquitous in networking and database systems. Current solutions force a difficult compromise: hash tables guarantee correctness but suffer from high memory...

Cluster-Based Distributed Small-Signal Stability Certificates for Grid-Forming Inverter Networks

- Large-scale power networks are often organized by geography, ownership, or control authority, making stability certificates that require a fully assembled global model challenging. This paper...

Periodic Bootstrap Thompson Sampling For Periodically Non-Stationary Bandit Problems

- This paper introduces Periodic Bootstrap Thompson Sampling (PBTS), an innovative extension of the classic Thompson Sampling (TS) algorithm tailored for bandit problems with periodic non-stationarity....

Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries

- Introduction. Clinical and Translational Science Award (CTSA) programs must document their scholars' research impact, but assembling each scholar's record by hand takes staff an estimated 15...

Expected Free Energy as Belief-Dependent Utility for rho-POMDPs

- An agent acting under partial observability must decide when to gather information and which observations are worth their cost. Standard POMDPs value information only through its eventual effect on...

Transmit Coefficients and Receive Combining Vector Design for OTA-FL with Imperfect CSI

- Over-the-air (OTA) computation has recently gained significant attentions as an effective approach to enhance the communication efficiency of wireless federated learning (FL). By enabling...

A conditional no-go for resource-free magic-axis measurement on a static surface code

- Under stated assumptions, a static surface-code patch that adds no fold or \mbox{self-dual} structure cannot perform the magic-axis check that magic-state cultivation relies on while still accepting...

SurvCF(t): Counterfactual Explanations for Survival Analysis in Predictive Maintenance Multivariate Time Series Data

- Predictive maintenance relies on accurate Remaining Useful Life estimation, often formulated using survival analysis over multivariate time-series data. While modern deep survival models achieve...

Training Continuous Chain of Thought Models: A Tale of Two Regimes

- Continuous Chain-of-Thought methods replace verbose reasoning traces with a short sequence of dense latent representations. Earlier continuous CoT methods indirectly supervise the latent...