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arXiv:2602.11129v2 Announce Type: replace-cross Abstract: We study information-theoretic phase transitions for the detectability of latent geometry in bipartite random geometric graphs RGGs with Gaussian d-dimensional...
arXiv:2602.10330v2 Announce Type: replace-cross Abstract: Context: JWST has enabled transmission spectroscopy at unprecedented precision, but stellar heterogeneities (spots and faculae) remain a dominant contamination source...
arXiv:2602.05179v2 Announce Type: replace-cross Abstract: A major bottleneck in scenario-based Sample Average Approximation (SAA) for stochastic programming (SP) is the cost of solving an exact...
arXiv:2602.00220v2 Announce Type: replace-cross Abstract: This paper introduces a hybrid two-stage registration framework for reconstructing three-dimensional (3D) kidney anatomy from macroscopic slices, using CT-derived models...
arXiv:2601.20269v2 Announce Type: replace-cross Abstract: Machine learning models in high-stakes applications, such as recidivism prediction and automated personnel selection, often exhibit systematic performance disparities across...
arXiv:2601.19059v2 Announce Type: replace-cross Abstract: We evaluate the quantum resource requirements for ATP/metaphosphate hydrolysis, one of the most important reactions in all of biology with...
arXiv:2601.16250v2 Announce Type: replace-cross Abstract: We study a general framework of distributional computational graphs: computational graphs whose inputs are probability distributions rather than point values....
arXiv:2601.13458v2 Announce Type: replace-cross Abstract: The increasing reliance on human preference feedback to judge AI-generated pseudo labels has created a pressing need for principled, budget-conscious...
arXiv:2601.05195v3 Announce Type: replace-cross Abstract: The basis number of a graph $G$ is the minimum $k$ such that the cycle space of $G$ is generated...
arXiv:2512.23396v2 Announce Type: replace-cross Abstract: Physics-Informed Neural Networks (PINNs) solve physical systems by incorporating governing partial differential equations directly into neural network training. In electromagnetism,...
arXiv:2512.13757v2 Announce Type: replace-cross Abstract: Monitoring contact pressure in hospital beds is essential for preventing pressure ulcers and enabling real-time patient assessment. Current methods can...
arXiv:2512.13628v3 Announce Type: replace-cross Abstract: We study non-interactive zero-knowledge proofs (NIZKs) for NP satisfying: 1) statistical soundness, 2) computational zero-knowledge and 3) certified-everlasting zero-knowledge (CE-ZK)....
arXiv:2512.12226v2 Announce Type: replace-cross Abstract: Classical spectral graph theory and graph signal processing rely on a symmetry principle: undirected graphs induce symmetric (self-adjoint) adjacency/Laplacian operators,...
arXiv:2512.00653v2 Announce Type: replace-cross Abstract: Box Decoding is a sort-free tree-search MIMO detector whose complexity is independent of the QAM order, achieved by searching a...
arXiv:2510.24187v2 Announce Type: replace-cross Abstract: We consider the adversarial linear bandits setting and present a unified algorithmic framework that bridges Follow-the-Regularized-Leader (FTRL) and Follow-the-Perturbed-Leader (FTPL)...
arXiv:2510.23411v2 Announce Type: replace-cross Abstract: Border bases are a generalization of Gr\"obner bases for zero-dimensional ideals in polynomial rings. In this article, we introduce border...
arXiv:2510.15995v2 Announce Type: replace-cross Abstract: We study the emergence of tacit collusion in a repeated game between a market maker, who controls market liquidity, and...
arXiv:2510.11743v2 Announce Type: replace-cross Abstract: Synthetic molecular communication (MC) in the cardiovascular system is a key enabler for many envisioned medical applications inside the human...
arXiv:2509.22794v2 Announce Type: replace-cross Abstract: We study instrumental variable regression (IVaR) under differential privacy constraints. Classical IVaR methods (like two-stage least squares regression) rely on...
arXiv:2509.22341v2 Announce Type: replace-cross Abstract: Model collapse occurs when generative models degrade after repeatedly training on their own synthetic outputs. We study this effect in...
arXiv:2509.16301v2 Announce Type: replace-cross Abstract: Integration and analysis of multi-omics data provide valuable insights for improving cancer subtype classification. However, such data are inherently heterogeneous,...
arXiv:2508.17655v5 Announce Type: replace-cross Abstract: Nonlinear dynamical systems with continuous variables can be used for solving combinatorial optimization problems with discrete variables. Numerical simulations of...
arXiv:2507.22509v2 Announce Type: replace-cross Abstract: In 2012, Ne\v{s}et\v{r}il and Ossona de Mendez proved that graphs of bounded degeneracy that have a path of order $n$...
arXiv:2507.11779v4 Announce Type: replace-cross Abstract: We consider a class of multi-agent distributed synchronization systems, which are modeled as $n$ particles moving on the real line....