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trasgoDP is a modular, open-source, and easy-to-use Python framework for releasing tabular microdata under {\epsilon}-local differential privacy guarantees, as well as location data under geo-indistinguishability assumptions, designed to be…

HARMONI is the first light, adaptive optics assisted, near-IR integral field spectrograph for the ELT [1]. It covers a spectral range from 800 nm to 2450 nm with resolving powers from 3000 to 7000 and spatial sampling of 25 mas and 6mas. It…

Let $K$ and $S$ be compact Hausdorff spaces. We prove a Bollob\'as-type theorem for operators between complex spaces of continuous functions. More precisely, every operator that almost attains its norm at an initial function can be…

HARMONI is the first-light, adaptive-optics-assisted, near-infrared integral field spectrograph for the ELT, covering 800 to 2450 nm with resolving powers from 3000 to 7000. The Low Order Wavefront Sensor subsystem (LOWFS) provides field…

Foundation-model-based vision-language navigation (VLN) has advanced autonomous robot navigation by enabling robots to interpret natural-language instructions, identify semantic goals, and follow user-specified behavioral rules. However,…

Safe autonomous navigation in shared environments requires the ability to anticipate and react to the latent behaviors of surrounding robots. In this paper, we propose SOWL-MPC, a safe learning-based predictive control strategy for a novel…

We prove that the solution-search problem for the pencil puzzle Ice Walk is ASP-complete. Our reduction maps Hamiltonian cycles in an undirected maximum-degree-3 spanning subgraph of a rectangular grid graph bijectively to Ice Walk…

For any $n\ge 3$, we construct uniformly quasiregular self-maps of $\mathbb{R}^n$ of polynomial type for which the Julia set is a Cantor set.

A confined self-propelled particle exhibits a range of intriguing dynamical phenomena dictated by the interplay between the intrinsic activity of the particle and the imposed confinement. This competition manifests as a crossover in the…

Zermelo's algorithm is a classical method for computing the maximum likelihood estimator in the Bradley--Terry (BT) model, but its convergence can be slow in practice. To accelerate computation, Newman introduced a family of Zermelo-type…

In this paper, we study the pathwise uniqueness problem for a class of degenerate stochastic differential equations with H\"{o}lder continuous diffusion coefficients arising from a cyclic catalytic super-Markov chain. The key step is a…

Data dependency discovery has traditionally focused on identifying dependencies that hold in the data or are statistically strong. Yet a dependency may be valid without being valuable: it may be irrelevant to the governance task, redundant…

Despite the growing use of large language models (LLMs) as creativity evaluators, evidence of their alignment with human evaluations remains mixed, raising the question of when and why their judgments converge with or diverge from human…

Indoor localization using Distributed Multiple-Input Multiple-Output (D-MIMO) and machine learning (ML) achieves sub-centimeter accuracy but faces midhaul capacity bottlenecks when transmitting raw Channel State Information (CSI) in Open…

Meandering hyperbolicity, introduced by Kapovich, Kim, and Lee, extends classical hyperbolicity beyond the setting of word-hyperbolic groups. In this paper, we prove that every meandering-hyperbolic action is locally semi-rigid in the $C^0$…

In this study, we introduce latent PDE mapping, a broadly applicable physics-informed learning technique designed to enable efficient geometric generalization with sparse training data. Latent PDE mapping pulls back geometry-specific PDE…

We improve an explicit upper bound on the modular polynomial $\Phi_N$ given by Breuer, G\'omez, and Pazuki. We also prove new explicit upper bounds on the height of modular polynomials for the cube root of $j$ and the Weber modular function…

Our overall objective is to determine how collision velocity governs the interactions between silicate and carbonaceous nanograins. We aim to: i) identify collisional regimes capable of producing mixed silicate-carbonaceous grains and/or…

Visual anomaly detection requires adaptive representations and reliable decision boundaries, particularly when anomalous training samples are scarce and class distributions are highly imbalanced. Classical kernel-based methods yield…

Closed-loop generative selection has become a workhorse of computational drug discovery: a learned generative model proposes candidate molecules, a fitness oracle scores them, the best are kept, and the model is retrained on this elite set…