322

arXiv:2512.16269v1 Announce Type: new
Abstract: We introduce a numerical framework for reconstructing the potential in two dimensional semilinear elliptic PDEs with power type nonlinearities from the nonlinear Dirichlet to Neumann map. By applying higher order linearization method, we compute the F…
321

arXiv:2510.15610v2 Announce Type: replace-cross
Abstract: We revisit random search for stochastic optimization, where only noisy function evaluations are available. We show that the method works under weaker smoothness assumptions than previously considered, and that stronger assumptions enable imp…
311

arXiv:2512.15733v1 Announce Type: cross
Abstract: Energy and pollution are urging problems of the 21th century. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives…
230

A new stem cell–based therapy challenges traditional pain treatment by using pain-sensing neurons to reduce inflammation and protect joints. Newly released preclinical data describes an unconventional strategy for managing chronic pain while helping preserve joint tissue. The findings focus on SN101…
220

arXiv:2512.16875v1 Announce Type: new
Abstract: We study the problem of finding confidence ellipsoids for an arbitrary distribution in high dimensions. Given samples from a distribution $D$ and a confidence parameter $\alpha$, the goal is to find the smallest volume ellipsoid $E$ which has probabil…
229

arXiv:2507.07390v2 Announce Type: replace
Abstract: Molecular dynamics is crucial for understanding molecular systems but its applicability is often limited by the vast timescales of rare events like protein folding. Enhanced sampling techniques overcome this by accelerating the simulation along ke…
212

arXiv:2512.16872v1 Announce Type: new
Abstract: Inspired by biology, spiking neural networks (SNNs) process information via discrete spikes over time, offering an energy-efficient alternative to the classical computing paradigm and classical artificial neural networks (ANNs). In this work, we analy…
222

arXiv:2512.15979v1 Announce Type: new
Abstract: Large Language Models (LLMs) are increasingly used in empirical software engineering (ESE) to automate or assist annotation tasks such as labeling commits, issues, and qualitative artifacts. Yet the reliability and reproducibility of such annotations …
220

arXiv:2512.16860v1 Announce Type: new
Abstract: Non-Orthogonal Multiple Access (NOMA) technology has emerged as a promising technology to enable massive connectivity and enhanced spectral efficiency in next-generation wireless networks. In this study, we propose a novel two-user downlink power-doma…
210

Scientists are using CRISPR to fast-track the domestication of a wild fruit. For roughly 10,000 years, farming communities have improved crops by saving seeds from plants that produced better harvests. By repeatedly choosing varieties with desirable traits such as larger size, better flavor, and gre…
130

arXiv:2502.10239v2 Announce Type: replace
Abstract: Federated fine-tuning offers a promising approach for tuning Large Language Models (LLMs) on edge devices while preserving data privacy. However, fine-tuning these models on edge devices remains challenging due to high memory, communication, and c…
109

arXiv:2512.15767v1 Announce Type: new
Abstract: Simulating complex unsteady physical phenomena relies on detailed mathematical models, simulated for instance by using the Finite Element Method (FEM). However, these models often exhibit discrepancies from the reality due to unmodeled effects or simp…