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arXiv:2602.16503v1 Announce Type: new Abstract: Generalized additive models (GAMs) offer interpretability through independent univariate feature effects but underfit when interactions are present in data. GA$^2$Ms...
arXiv:2602.16507v1 Announce Type: new Abstract: One of the central challenges in the computational analysis of liquid chromatography-tandem mass spectrometry (LC-MS/MS) data is to identify the...
arXiv:2602.16508v1 Announce Type: new Abstract: We consider a stochastic heat equation with nonlinear multiplicative finite-dimensional noise that admits a unique nonnegative solution when given nonnegative...
arXiv:2602.16511v1 Announce Type: new Abstract: Reliable fall recovery is critical for humanoids operating in cluttered environments. Unlike quadrupeds or wheeled robots, humanoids experience high-energy impacts,...
arXiv:2602.16512v1 Announce Type: new Abstract: Prompting schemes such as Chain of Thought, Tree of Thoughts, and Graph of Thoughts can significantly enhance the reasoning capabilities...
arXiv:2602.16516v1 Announce Type: new Abstract: This paper introduces ParlaCAP, a large-scale dataset for analyzing parliamentary agenda setting across Europe, and proposes a cost-effective method for...
arXiv:2602.16518v1 Announce Type: new Abstract: In the planar one-round discrete Voronoi game, two players $\mathcal{P}$ and $\mathcal{Q}$ compete over a set $V$ of $n$ voters...
arXiv:2602.16520v1 Announce Type: new Abstract: Jailbreak prompts are a practical and evolving threat to large language models (LLMs), particularly in agentic systems that execute tools...
arXiv:2602.16522v1 Announce Type: new Abstract: In recent years, numerous techniques were developed to automatically prove termination of different kinds of probabilistic programs. However, there are...
arXiv:2602.16523v1 Announce Type: new Abstract: We extend directed quantum circuit synthesis (DQCS) with reinforcement learning from purely discrete gate selection to parameterized quantum state preparation...
arXiv:2602.16525v1 Announce Type: new Abstract: This paper presents a capacity-constrained incentive-based demand response approach for residential smart grids. It aims to maintain electricity grid capacity...
arXiv:2602.16530v1 Announce Type: new Abstract: Kolmogorov-Arnold Networks (KANs) have recently emerged as a compelling alternative to multilayer perceptrons, offering enhanced interpretability via functional decomposition. However,...
arXiv:2602.16531v1 Announce Type: new Abstract: We study transfer learning for a linear regression task using several least-squares pretrained models that can be overparameterized. We formulate...
arXiv:2602.16532v1 Announce Type: new Abstract: Determining if an input undirected graph is Hamiltonian, i.e., if it has a cycle that visits every vertex exactly once,...
arXiv:2602.16536v1 Announce Type: new Abstract: The Ingleton inequality is a classical linear information inequality that holds for representable matroids but fails to be universally valid...
arXiv:2602.16538v1 Announce Type: new Abstract: Electrokinetic phenomena in nanopore sensors and microfluidic devices require accurate simulation of coupled fluid-electrostatic interactions in geometrically complex domains with...
arXiv:2602.16541v1 Announce Type: new Abstract: Click models are a central component of learning and evaluation in recommender systems, yet most existing models are designed for...
arXiv:2602.16543v1 Announce Type: new Abstract: Safe reinforcement learning (Safe RL) aims to ensure policy performance while satisfying safety constraints. However, most existing Safe RL methods...
arXiv:2602.16545v1 Announce Type: new Abstract: Video recognition models are typically trained on fixed taxonomies which are often too coarse, collapsing distinctions in object, manner or...
arXiv:2602.16548v1 Announce Type: new Abstract: The inverse design of RNA three-dimensional (3D) structures is crucial for engineering functional RNAs in synthetic biology and therapeutics. While...
arXiv:2602.16551v1 Announce Type: new Abstract: The preservation of cultural heritage is increasingly transitioning towards data-driven predictive maintenance and "Digital Twin" construction. However, the mechanical constitutive...
arXiv:2602.16553v1 Announce Type: new Abstract: The emergence of agentic AI marks a new phase in the digital transformation of healthcare. Distinct from conventional generative AI,...
arXiv:2602.16554v1 Announce Type: new Abstract: We introduce MerLean, a fully automated agentic framework for autoformalization in quantum computation. MerLean extracts mathematical statements from \LaTeX{} source...
arXiv:2602.16558v1 Announce Type: new Abstract: Variational Quantum Circuits (VQCs) have emerged as a promising paradigm for quantum machine learning in the NISQ era. While parameter...