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arXiv:2602.03061v1 Announce Type: cross Abstract: Evaluating mathematical reasoning in LLMs is constrained by limited benchmark sizes and inherent model stochasticity, yielding high-variance accuracy estimates and...
arXiv:2602.03067v1 Announce Type: cross Abstract: Entropic optimal transport (EOT) via Sinkhorn iterations is widely used in modern machine learning, yet GPU solvers remain inefficient at...
arXiv:2602.03082v1 Announce Type: cross Abstract: Preserving geometric structure is important in learning. We propose a unified class of geometry-aware architectures that interleave geometric updates between...
arXiv:2602.03185v1 Announce Type: cross Abstract: This paper investigates the relationship between the contact angle of a spherical bubble attached to a tube submerged in a...
arXiv:2602.03212v1 Announce Type: cross Abstract: The proper-time method for constructing perturbative dynamical gravitational fields is presented. Using the proper-time method, a perturbative analytical model of...
arXiv:2602.03240v1 Announce Type: cross Abstract: Cognition is increasingly framed in terms of information processing, yet most fMRI analyses focus on activation or functional connectivity rather...
arXiv:2602.03246v1 Announce Type: cross Abstract: This paper studies an important rate allocation problem that arises in many networked and distributed systems: steady-state traffic rate allocation...
arXiv:2602.03290v1 Announce Type: cross Abstract: We study universal approximation of continuous functionals on compact subsets of products of Hilbert spaces. We prove that any such...
arXiv:2602.03319v1 Announce Type: cross Abstract: Target-oriented discovery under limited evaluation budgets requires making reliable progress in high-dimensional, heterogeneous design spaces where each new measurement is...
arXiv:2602.03329v1 Announce Type: cross Abstract: Standard federated learning algorithms are vulnerable to adversarial nodes, a.k.a. Byzantine failures. To solve this issue, robust distributed learning algorithms...
arXiv:2602.03337v1 Announce Type: cross Abstract: In bioinformatics, minimizers have become an inescapable method for handling $k$-mers (words of fixed size $k$) extracted from DNA or...
arXiv:2602.03357v1 Announce Type: cross Abstract: This paper proposes FedNMap, a normal map-based method for composite federated learning, where the objective consists of a smooth loss...
arXiv:2602.03386v1 Announce Type: cross Abstract: Proximal Policy Optimization (PPO) is among the most widely used deep reinforcement learning algorithms, yet its theoretical foundations remain incomplete....
arXiv:2602.03461v1 Announce Type: cross Abstract: Integrating hard constraints into deep learning is essential for safety-critical systems. Yet existing constructive layers that project predictions onto constraint...
arXiv:2602.03514v1 Announce Type: cross Abstract: Modern learning systems often interpolate training data while still generalizing well, yet it remains unclear when algorithmic stability explains this...
arXiv:2602.03535v1 Announce Type: cross Abstract: We introduce a dynamic sparse training algorithm based on linearized Bregman iterations / mirror descent that exploits the naturally incurred...
arXiv:2602.03566v1 Announce Type: cross Abstract: Computational optimal transport (OT) offers a principled framework for generative modeling. Neural OT methods, which use neural networks to learn...
arXiv:2602.03581v1 Announce Type: cross Abstract: In this paper, we investigate the low-complexity distributed combining scheme design for near-field cell-free extremely large-scale multiple-input-multiple-output (CF XL-MIMO) systems....
arXiv:2602.03590v1 Announce Type: cross Abstract: We study a distributed beamforming approach for cell-free massive multiple-input multiple-output networks, referred to as Global Statistics \& Local Instantaneous...
arXiv:2602.03654v1 Announce Type: cross Abstract: Interacting particle systems provide a fundamental framework for modeling collective behavior in biological, social, and physical systems. In many applications,...
arXiv:2602.03663v1 Announce Type: cross Abstract: Gowdy cosmologies are exact, spatially inhomogeneous solutions of the vacuum Einstein equations which describe nonlinear gravitational waves coalescing at the...
arXiv:2602.03670v1 Announce Type: cross Abstract: Equilibrium Propagation (EP) is a physics-inspired learning algorithm that uses stationary states of a dynamical system both for inference and...
arXiv:2602.03674v1 Announce Type: cross Abstract: Multi-robot teams must coordinate to operate effectively. When a team operates in an uncoordinated manner, and agents choose actions that...
arXiv:2602.03682v1 Announce Type: cross Abstract: We analyze the Accelerated Noisy Power Method, an algorithm for Principal Component Analysis in the setting where only inexact matrix-vector...