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arXiv:2509.00341v2 Announce Type: replace-cross Abstract: Conic programs arise broadly in physics, quantum information, machine learning, and engineering, many of which are defined over sparse graphs....
arXiv:2509.08759v2 Announce Type: replace-cross Abstract: We introduce the Fourier Learning Machine (FLM), a neural network (NN) architecture designed to represent a multidimensional nonharmonic Fourier series....
arXiv:2509.09075v2 Announce Type: replace-cross Abstract: We propose and study a compartmental model for epidemiology with human behavioral effects. Specifically, our model incorporates governmental prevention measures...
arXiv:2509.09490v2 Announce Type: replace-cross Abstract: We extend the results of Lagrangian formulations study to construct gauge-invariant Lagrangians for (ir)reducible integer higher-spin massless and massive representations...
arXiv:2509.14585v2 Announce Type: replace-cross Abstract: This paper introduces a structured and interpretable online policy-iteration framework for reinforcement learning (RL), built around the novel class of...
arXiv:2509.26135v3 Announce Type: replace-cross Abstract: We investigate the open problem of the existence of genuinely unextendible product bases (GUPBs), that is, multipartite unextendible product bases...
arXiv:2510.04858v2 Announce Type: replace-cross Abstract: We consider the problem of defining the field strength of abelian potentials when the spacetime is a Poisson manifold, within...
arXiv:2510.06956v2 Announce Type: replace-cross Abstract: We study the deformed supersymmetric quantum mechanics with a polynomial superpotential with $\hbar$ correction. In the minimal chamber, where all...
arXiv:2510.12926v2 Announce Type: replace-cross Abstract: The study of random landscapes has long relied on counting stationary points: metastable states and the barriers between them. However,...
arXiv:2510.21767v2 Announce Type: replace-cross Abstract: The curse of dimensionality is ubiquitous in both numerical and data-driven methods. This is particularly severe for space-time methods, which...
arXiv:2510.24739v3 Announce Type: replace-cross Abstract: Artificial Intelligence (AI) and large language models (LLMs) are increasingly used in social and psychological research. Among potential applications, LLMs...
arXiv:2511.21537v2 Announce Type: replace-cross Abstract: Real-world problems, for example in climate applications, often require causal reasoning on spatially gridded time series data or data with...
arXiv:2512.09950v3 Announce Type: replace-cross Abstract: What does ``Big Bang" mean? What was the actual origin of these two words? There are many aspects hidden under...
arXiv:2512.11613v2 Announce Type: replace-cross Abstract: Open quantum systems play a central role in contemporary nanoscale technologies, including molecular electronics, quantum heat engines, quantum computation and...
arXiv:2601.05383v2 Announce Type: replace-cross Abstract: Imitation learning (IL) provides a data-driven framework for approximating policies for large-scale combinatorial optimisation problems formulated as sequential decision problems...
arXiv:2602.00099v2 Announce Type: replace-cross Abstract: We explore the use of the Gauss-Newton method for optimization in shape learning, including implicit neural surfaces and geometry-informed neural...
arXiv:2602.09127v2 Announce Type: replace-cross Abstract: Recent generative and tool-using AI systems can surface a large volume of candidates at low marginal cost, yet only a...
arXiv:2602.09394v2 Announce Type: replace-cross Abstract: Manufacturing lines, service journeys, supply chains, and AI reasoning chains share a common challenge: attributing a terminal outcome to the...
arXiv:2602.10141v2 Announce Type: replace-cross Abstract: We report on a computational and experimental study of permanents. On the computational side, we use the GPU to greaatly...
arXiv:2602.10733v2 Announce Type: replace-cross Abstract: A generalization for the quantum information retrieval protocol recently illustrated by Verlinde and van der Heijden for evaporating black holes...
arXiv:2602.12392v1 Announce Type: new Abstract: This paper asks whether regulatory monitoring exhibits nonlinear capacity limits as the scale and complexity of the regulated environment increase....
arXiv:2602.12490v1 Announce Type: new Abstract: Conditional Value-at-Risk (CoVaR) quantifies systemic financial risk by measuring the loss quantile of one asset, conditional on another asset experiencing...
arXiv:2602.12504v1 Announce Type: new Abstract: Standard instrumental variables (IV) methods identify a Local Average Treatment Effect under monotonicity, which rules out defiers. In many empirical...
arXiv:2602.12571v1 Announce Type: new Abstract: We study agents playing a pure coordination game on a large social network. Agents are restricted to coordinate locally, without...