Stay updated with the latest research and technology news
arXiv:2602.01825v1 Announce Type: cross Abstract: We often collect data from multiple sites (e.g., hospitals) that share common structure but also exhibit heterogeneity. This paper aims...
arXiv:2602.01847v1 Announce Type: cross Abstract: In this paper we study two natural models of \textit{random temporal} graphs. In the first, the \textit{continuous} model, each edge...
arXiv:2602.01857v1 Announce Type: cross Abstract: We study distributed differentiation, where agents in a networked system estimate the average of local time-varying signals and their derivatives...
arXiv:2602.01877v1 Announce Type: cross Abstract: Models that directly optimize for out-of-sample performance in the finite-sample regime have emerged as a promising alternative to traditional estimate-then-optimize...
arXiv:2602.01943v1 Announce Type: cross Abstract: Establishing quantitative adiabaticity criteria at finite temperature remains substantially less developed than in the pure-state setting, despite the fact that...
arXiv:2602.01993v1 Announce Type: cross Abstract: We introduce a general Bayesian framework for graph matching grounded in a new theory of exchangeable random permutations. Leveraging the...
arXiv:2602.02035v1 Announce Type: cross Abstract: Multi-agent reinforcement learning systems deployed in real-world robotics applications face severe communication constraints that significantly impact coordination effectiveness. We present...
arXiv:2602.02037v1 Announce Type: cross Abstract: In these proceedings we will review recent progress in applying ideas from the mathematical framework of twisted cohomology to the...
arXiv:2602.02073v1 Announce Type: cross Abstract: We establish a relationship between the Davey--Stewartson II (DS II) integrable system in $(2{+}1)$ dimensions and quasi-exactly solvable planar interacting...
arXiv:2602.02077v1 Announce Type: cross Abstract: An extension of standard quantum mechanics is proposed in which the Newtonian time parameter appearing in the unitary evolution operator...
arXiv:2602.02106v1 Announce Type: cross Abstract: In this work we develop a real-time Schwinger-Keldysh formulation of Krylov dynamics that treats Krylov complexity as an in-in observable...
arXiv:2602.02113v1 Announce Type: cross Abstract: Simulating parameter-dependent stochastic differential equations (SDEs) presents significant computational challenges, as separate high-fidelity simulations are typically required for each parameter...
arXiv:2602.02117v1 Announce Type: cross Abstract: Von Neumann entropy (VNE) is a fundamental quantity in quantum information theory and has recently been adopted in machine learning...
arXiv:2602.02216v1 Announce Type: cross Abstract: We propose a general method to carry out a valid Bayesian analysis of a finite-dimensional `targeted' parameter in the presence...
arXiv:2602.02218v1 Announce Type: cross Abstract: Simplicial type theory (STT) was introduced by Riehl and Shulman to leverage homotopy type theory to prove results about $(\infty,1)$-categories....
arXiv:2602.02224v1 Announce Type: cross Abstract: Neural networks represent more features than they have dimensions via superposition, forcing features to share representational space. Current methods decompose...
arXiv:2602.02248v1 Announce Type: cross Abstract: In this work, we propose the orthogonal delay-Doppler (DD) division multiplexing (ODDM) modulation with frequency modulated continuous wave (FMCW) (ODDM-FMCW)...
arXiv:2602.02263v1 Announce Type: cross Abstract: In this paper we study the problem of sampling random supersingular elliptic curves with unknown endomorphism rings. This task has...
arXiv:2602.02285v1 Announce Type: cross Abstract: We present the first comprehensive Lean 4 formalization of statistical learning theory (SLT) grounded in empirical process theory. Our end-to-end...
arXiv:2602.02292v1 Announce Type: cross Abstract: Collective excitations of Fractional Quantum Hall (FQH) liquids at long wavelengths are thought to be of a generally covariant geometric...
arXiv:2602.02355v1 Announce Type: cross Abstract: Hierarchical federated learning (HFL) has emerged as a key architecture for large-scale wireless and Internet of Things systems, where devices...
arXiv:2602.02373v1 Announce Type: cross Abstract: There are three categories of mathematical results concerning quiescent big bang singularities: the derivation of asymptotics in a symmetry class;...
arXiv:2602.02374v1 Announce Type: cross Abstract: Both natural and synthetic chemical systems not only exhibit a range of non-trivial dynamics, but also transition between qualitatively different...
arXiv:2602.02432v1 Announce Type: cross Abstract: Bayesian optimization (BO) is a popular, sample-efficient technique for expensive, black-box optimization. One such problem arising in manufacturing is that...