Stay updated with the latest research and technology news
arXiv:2601.19620v2 Announce Type: replace Abstract: Large reasoning models (LRMs) aim to solve diverse and complex problems through structured reasoning. Recent advances in group-based policy optimization...
arXiv:2601.19672v2 Announce Type: replace Abstract: Federated Learning (FL) enables collaborative training of Large Language Models (LLMs) across distributed data sources while preserving privacy. However, when...
arXiv:2601.19750v2 Announce Type: replace Abstract: Missing-modality information on e-commerce platforms, such as absent product images or textual descriptions, often arises from annotation errors or incomplete...
arXiv:2601.19785v2 Announce Type: replace Abstract: 3D scene generation is a core technology for gaming, film/VFX, and VR/AR. Growing demand for rapid iteration, high-fidelity detail, and...
arXiv:2601.19792v2 Announce Type: replace Abstract: For generative AI agents to partner effectively with human users, the ability to accurately predict human intent is critical. But...
arXiv:2601.19802v2 Announce Type: replace Abstract: Current stance detection research typically relies on predicting stance based on given targets and text. However, in real-world social media...
arXiv:2404.08157v5 Announce Type: replace-cross Abstract: The Multiple Traveling Salesman Problem (MTSP) extends the traveling salesman problem by assigning multiple salesmen to visit a set of...
arXiv:2501.04903v4 Announce Type: replace-cross Abstract: There is a widespread and longstanding belief that machine learning models are biased towards the majority class when learning from...
arXiv:2503.06382v2 Announce Type: replace-cross Abstract: Sparse-view 3D CT reconstruction aims to recover volumetric structures from a limited number of 2D X-ray projections. Existing feedforward methods...
arXiv:2504.06250v2 Announce Type: replace-cross Abstract: We study the geometric properties of random neural networks by investigating the boundary volumes of their excursion sets for different...
arXiv:2505.04366v2 Announce Type: replace-cross Abstract: We prove that for any graph $G$ the (complex) zeros of its chromatic polynomial, $\chi_G(x)$, lie inside the disk centered...
arXiv:2505.13055v3 Announce Type: replace-cross Abstract: Unsupervised representation learning for wireless channel state information (CSI)reduces reliance on labeled data, thereby lowering annotation costs, and often improves...
arXiv:2506.00266v2 Announce Type: replace-cross Abstract: We consider the computational problem of determining the unit group of a finite ring, by which we mean the computation...
arXiv:2506.00856v3 Announce Type: replace-cross Abstract: Can AI effectively perform complex econometric analysis traditionally requiring human expertise? This paper evaluates AI agents' capability to master econometrics,...
arXiv:2506.01256v3 Announce Type: replace-cross Abstract: Forced alignment is a common tool to align audio with orthographic and phonetic transcriptions. Most forced alignment tools provide only...
arXiv:2506.05544v2 Announce Type: replace-cross Abstract: This paper introduces the MPS (Model Prediction Set), a novel framework for online model selection for nonstationary time series. Classical...
arXiv:2506.14318v5 Announce Type: replace-cross Abstract: Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) remain key challenges in medical image analysis, primarily...
arXiv:2506.20641v5 Announce Type: replace-cross Abstract: We break the mold in flow-based generative modeling by proposing a new model based on the damped wave equation, also...
arXiv:2507.10601v2 Announce Type: replace-cross Abstract: Diffusion MRI (dMRI) tractography is currently the only method for in vivo mapping of the brain's white matter (WM) connections....
arXiv:2508.19112v4 Announce Type: replace-cross Abstract: Accurate detection and segmentation of cancerous lesions from computed tomography (CT) scans is essential for automated treatment planning and cancer...
arXiv:2509.11379v2 Announce Type: replace-cross Abstract: We demonstrate that learning procedures that rely on aggregated labels, e.g., label information distilled from noisy responses, enjoy robustness properties...
arXiv:2509.15603v2 Announce Type: replace-cross Abstract: Identification and further analysis of radar emitters in a contested environment requires detection and separation of incoming signals. If they...
arXiv:2509.15942v2 Announce Type: replace-cross Abstract: Climate projections have uncertainties related to components of the climate system and their interactions. A typical approach to quantifying these...
arXiv:2509.24056v2 Announce Type: replace-cross Abstract: Safe derivative-free optimization under unknown constraints is a fundamental challenge in modern learning and control. Existing zeroth-order (ZO) methods typically...