Telecomunicaciones, información y comunicación

Tensor Data Scattering and the Impossibility of Slicing Theorem

- This paper proposes a standard way to represent sparse tensors. A broad theoretical framework for tensor data scattering methods used in various deep learning frameworks is established. This paper...

Online Shadow Tomography Matching the Classical Bounds

- In \emph{Online Shadow Tomography}, we are given copies of an unknown $d$-dimensional quantum state $\rho$, an adversary (adaptively) proposes a sequence of bounded observables...

Admissible Set for Linear Systems under Linear State Constraints

- This paper presents a method for computing inner polytopic approximations of admissible sets for continuous-time linear control systems subject to affine state constraints. Building upon barrier...

Spectrum Estimation is Almost as Hard as Tomography

- We study the sample complexity of estimating and testing fundamental unitarily invariant properties of unknown quantum states; namely, the tasks of spectrum estimation, von Neumann entropy...

Elastic Curves via Geometric Mechanics

- Elastic curves are the mathematical shapes of thin elastic rods in equilibrium, with deep connections to mechanics, geometry, and computer graphics. Traditionally described as stationary points of...

Node-Wise Dynamic Optimal Control for Evolutionary Games on General Multilayer Networks

- Promoting cooperative behaviour amongst decision makers has key implications for the long term sustainability of social systems. Incentives can promote cooperation in situations where defection is...

The Greedy Advantage in Finite-Horizon Bandits

- Organizations increasingly rely on sequential experimentation to improve decision-making. While the multi-armed bandit literature has developed algorithms with strong asymptotic regret guarantees,...

Rational Jacobi Rotations and the Complexity of Approximating Mixed Integer Quadratic Programming

- We present an algorithm that finds an epsilon-approximate solution to a mixed integer quadratic programming (MIQP) problem, and that runs on a Turing machine in time polynomial in the size of the...

Quantum Algorithms for Modular Factorials

- We give a bounded-error quantum algorithm that, given a prime $p$, a divisor $q\mid(p-1)$, and an integer $0

Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence

- Double Machine Learning (DML) is a popular approach for treatment effect estimation in various settings, which allows a wide range of flexible machine learning methods to be used for nuisance...

Enumeration and Classification of Triangle-Maximal Pseudoline Arrangements

- We describe algorithms for the exhaustive enumeration and classification of simple arrangements of $n$ pseudolines ($n$ odd) maximizing the number of triangular faces. The depth-first search...

CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking

- Medical image quality plays a critical role in diagnostic accuracy, especially in X-ray-based imaging modalities such as cone-beam computed tomography (CBCT), where image quality must be balanced...

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens

- Balancing sequence length, representational capacity, and long-horizon stability is a central problem in autoregressive (AR) speech and audio generation. Representations with higher frame rates or...

Physics Matters in PnP: Recovery Guarantees with the MMSE and NN Denoisers

- We investigate the forward-backward-splitting version of the Plug and Play (PnP) method for linear ill-posed problems with MMSE estimators as denoisers. In contrast to existing literature, we...

Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides

- High-entropy perovskite oxides (HEPOs) represent a chemically complex class of materials with promising functional properties, yet their vast compositional space and, chemical/structural disorder...

Fast Mixing for Low-Temperature Potts Models via Poisson Trees

- The $q$-state ferromagnetic Potts model on a graph $G$ is a probability distribution on all $q$-colourings of $G$ that favours many monochromatic edges. Approximate sampling from the Potts model is a...

MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

- Adapting deep learning models to profound clinical heterogeneity typically relies on parameter-efficient fine-tuning (PEFT) to avoid the severe overfitting associated with full end-to-end network...

Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound

- Transcranial focused ultrasound (tFUS) is a non-invasive technique that delivers focused acoustic energy through the skull for neuromodulation and therapeutic applications. However, the heterogeneous...

InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation

- Recent work suggests that relational database management systems (RDBMSs) can execute quantum circuit simulation by compiling the simulation into SQL workloads (primarily join-and-aggregate tensor...

Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization

- Quantum software engineering is an emerging research field focusing on efficiently embedding the quantum programming paradigm into existing software ecosystems. A key aspect of this field is the...

Asymptotic Efficiency of the Global Maximum-Likelihood Estimator in Multi-Emitter Localization Microscopy

- We realize the GML estimator by an expectation-maximization algorithm initialized near the true positions and verify the theory by simulation.