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arXiv:2602.02453v2 Announce Type: replace Abstract: Chain-of-Thought reasoning has driven large language models to extend from thinking with text to thinking with images and videos. However,...
arXiv:2602.02487v2 Announce Type: replace Abstract: The NBA Draft lottery is designed to promote competitive balance by awarding better draft positions to weaker teams, but it...
arXiv:2405.00789v2 Announce Type: replace-cross Abstract: In recent years, several experimental groups have claimed demonstrations of ``quantum supremacy'' or computational quantum advantage. A notable first claim...
arXiv:2408.00436v2 Announce Type: replace-cross Abstract: Determining the best attainable threshold for qudit magic state distillation is directly related to the question of whether or not...
arXiv:2412.10625v3 Announce Type: replace-cross Abstract: Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often...
arXiv:2412.20418v2 Announce Type: replace-cross Abstract: Multimodal learning has been demonstrated to enhance performance across various clinical tasks, owing to the diverse perspectives offered by different...
arXiv:2501.00382v2 Announce Type: replace-cross Abstract: This paper advances empirical demand analysis by integrating multimodal product representations derived from artificial intelligence (AI). Using a detailed dataset...
arXiv:2503.17089v3 Announce Type: replace-cross Abstract: Artificial intelligence (AI) is increasingly being used for medical imaging tasks. However, there can be biases in AI models, particularly...
arXiv:2504.19470v2 Announce Type: replace-cross Abstract: In recent years, the quantum oracle model introduced by Aaronson and Kuperberg (2007) has found a lot of use in...
arXiv:2505.04283v5 Announce Type: replace-cross Abstract: Given a set $X\subseteq\mathbb{R}^2$ of $n$ points and a distance $d>0$, the multiplicity of $d$ is the number of times...
arXiv:2505.04494v2 Announce Type: replace-cross Abstract: We study reinforcement learning by combining recent advances in regularized linear programming formulations with the classical theory of stochastic approximation....
arXiv:2505.06927v2 Announce Type: replace-cross Abstract: We revisit the problem of ensuring strong test set performance via cross-validation, and propose a nested k-fold cross-validation scheme that...
arXiv:2505.16644v2 Announce Type: replace-cross Abstract: We consider the Schr\"odinger bridge problem which, given ensemble measurements of the initial and final configurations of a stochastic dynamical...
arXiv:2505.17961v3 Announce Type: replace-cross Abstract: Causal inference typically assumes centralized access to individual-level data. Yet, in practice, data are often decentralized across multiple sites, making...
arXiv:2506.21074v2 Announce Type: replace-cross Abstract: Neural speech codecs have been widely used in audio compression and various downstream tasks. Current mainstream codecs are fixed-frame-rate (FFR),...
arXiv:2507.08261v2 Announce Type: replace-cross Abstract: Batch normalization (BN) is a ubiquitous operation in deep neural networks, primarily used to improve stability and regularization during training....
arXiv:2507.20658v2 Announce Type: replace-cross Abstract: Ensuring the trustworthiness and robustness of deep learning models remains a fundamental challenge, particularly in high-stakes scientific applications. In this...
arXiv:2508.11175v2 Announce Type: replace-cross Abstract: Quantum Reservoir Computing (QRC) uses quantum dynamics to efficiently process temporal data. In this work, we investigate a QRC framework...
arXiv:2508.11847v2 Announce Type: replace-cross Abstract: We propose a method for evaluating the robustness of widely used LLM ranking systems -- variants of a Bradley--Terry model...
arXiv:2508.13232v2 Announce Type: replace-cross Abstract: The Boltzmann equation has been a driving force behind significant mathematical research over the years. Its challenging theoretical complexity, combined...
arXiv:2508.15784v3 Announce Type: replace-cross Abstract: Drawing parallels between Deep Artificial Neural Networks (DNNs) and biological systems can aid in understanding complex biological mechanisms that are...
arXiv:2509.15069v2 Announce Type: replace-cross Abstract: This letter presents a novel approach for \mbox{efficiently} computing time-index powered weighted sums of the form $\sum_{n=0}^{N-1} n^{K} v[n]$ using...
arXiv:2509.17382v2 Announce Type: replace-cross Abstract: We study denoising of a third-order tensor when the ground-truth tensor is not necessarily Tucker low-rank. Specifically, we observe $$...
arXiv:2509.19491v3 Announce Type: replace-cross Abstract: We introduce so-called super/sub-martingale projections as a family of endomorphisms defined on unions of Polish spaces. Such projections allow us...