Telecomunicaciones, información y comunicación

Mapping the Phase Diagram of the Vicsek Model with Machine Learning

- In this study, we use machine learning to classify and interpolate the phase structure of the Vicsek flocking model across the three-dimensional parameter space $(\eta,\rho,v_0)$. We construct a...

Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders

- Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully crafted noise, it can...

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

- The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support...

Diffusion-OAMP for Joint Image Compression and Wireless Transmission

- Joint image compression and wireless transmission remain relatively underexplored compared to generic image restoration, despite its importance in practical communication systems. We formulate this...

Universal statistical laws governing culinary design

- Cooking is a cultural expression of human creativity that transcends geography and time through the orchestration of ingredients and techniques, much like languages do through words and syntax. Yet,...

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach

- Although intersections are the most complex parts of the roadway network, pedestrian crashes at non-intersection locations are disproportionately frequent, highlighting a serious traffic safety...

Prediction-powered Inference by Mixture of Experts

- The rapidly expanding artificial intelligence (AI) industry has produced diverse yet powerful prediction tools, each with its own network architecture, training strategy, data-processing pipeline,...

Unentangled stoquastic Merlin-Arthur proof systems: the power of unentanglement without destructive interference

- Stoquasticity, originating in sign-problem-free physical systems, gives rise to $\sf StoqMA$, introduced by Bravyi, Bessen, and Terhal (2006), a quantum-inspired intermediate class between $\sf MA$...

Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

- In modern parametric model training, full-batch gradient descent (and its variants) suffers due to progressively stronger biasing towards the exact realization of training data; this drives the...

High-Girth Regular Quantum LDPC Codes from Square-Base Hypergraph Products via CPM Lifts

- We study square-base Calderbank--Shor--Steane (CSS) hypergraph-product codes as a finite-length class for regular high-girth quantum low-density parity-check (LDPC) design. For base matrices of small...

Heisenberg-limited Hamiltonian learning without short-time control

- Characterizing quantum systems by learning their underlying Hamiltonians is a central task in quantum information science. While recent algorithmic advances have achieved near-optimal efficiency in...

LRS-VoxMM: A benchmark for in-the-wild audio-visual speech recognition

- We introduce LRS-VoxMM, an in-the-wild benchmark for audio-visual speech recognition (AVSR). The benchmark is derived from VoxMM, a dataset of diverse real-world spoken conversations with...

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation

- Shallow nanoindentation enables mechanical characterization of thin films, individual phases and other volume-constrained materials, but measured hardness is often inflated by the indentation size...

Sampling two-dimensional spin systems with transformers

- Autoregressive Neural Networks based on dense or convolutional layers have recently been shown to be a viable strategy for generating classical spin systems. Unlike these methods, sampling with...

Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms

- This paper presents a physically-informed fuzzy clustering of vertical sounding ionograms for automatically separating the ionogram into tracks suitable for further interpretation and determining...

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials

- While machine-learned interatomic potentials (MLIPs) accelerate phonon dispersion calculations, merely identifying dynamical instabilities in computationally predicted materials is insufficient;...

The Satoshi Overhang: Why the Bear Case is Bounded

- Renewed public attention on the identity of Bitcoin's pseudonymous creator has sharpened focus on the Satoshi overhang, commonly framed as a tail risk for bitcoin. This paper argues that the...

Sensing-Assisted Channel Estimation for Flexible-Antenna Systems: A Unified Framework

- Flexible-antenna systems, which use a small number of radio frequency (RF) chains to dynamically access a large set of candidate antenna locations, have emerged as a hardware-efficient architecture...

Computation of frequency- and time-domain Jacobians in optical tomography with Monte Carlo simulations

- Significance: Jacobians, or spatially resolved sensitivity profiles, are central to image reconstruction in model-based optical tomography of biological tissue. Although Monte Carlo (MC) simulations...

Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids

- Motion retargeting from humans to human-like artificial agents is becoming increasingly important as humanoid robots grow more capable. However, most existing approaches focus only on reproducing...

Solution Sets for Inverse Infinite-Horizon Linear-Quadratic Descriptor Differential Games

- In this letter, we study a model-based inverse problem for infinite-horizon linear-quadratic differential games with descriptor dynamics. Specifically, we seek to identify the set of all cost...