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arXiv:2601.16212v2 Announce Type: replace Abstract: Robot foundation models are beginning to deliver on the promise of generalist robotic agents, yet progress remains constrained by the...
arXiv:2601.16249v2 Announce Type: replace Abstract: Learning DAG structures from purely observational data remains a long-standing challenge across scientific domains. An emerging line of research leverages...
arXiv:2601.16399v2 Announce Type: replace Abstract: We study a structured bi-level optimization problem where the upper-level objective is a smooth function and the lower-level problem is...
arXiv:2601.16432v2 Announce Type: replace Abstract: Structured Query Language (SQL) has remained the standard query language for databases. SQL is highly optimized for processing structured data...
arXiv:2601.16444v2 Announce Type: replace Abstract: "LLM-as-a-judge," which utilizes large language models (LLMs) as evaluators, has proven effective in many evaluation tasks. However, evaluator LLMs exhibit...
arXiv:2601.16502v2 Announce Type: replace Abstract: Artificial-intelligence (AI) workloads are driving rapid growth in data-center electricity use and rack power density, increasing demand for power-delivery systems...
arXiv:2601.16516v2 Announce Type: replace Abstract: Time series data from the Intensive Care Unit (ICU) provides critical information for patient monitoring. While recent advancements in applying...
arXiv:2601.16531v2 Announce Type: replace Abstract: We investigate whether high-frequency key collisions are a primary bottleneck in Engram-style conditional memory. To isolate the effect of collisions,...
arXiv:2601.16532v2 Announce Type: replace Abstract: Single-view indoor scene generation plays a crucial role in a range of real-world applications. However, generating a complete 360{\deg} scene...
arXiv:2601.16736v2 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) has emerged as a powerful technique for real-time novel view synthesis. As an explicit representation optimized...
arXiv:2601.16781v2 Announce Type: replace Abstract: In-context knowledge editing (IKE) is a promising technique for updating Large Language Models (LLMs) with new information. However, IKE relies...
arXiv:2601.16799v2 Announce Type: replace Abstract: The 6G communication systems use mmWave and MIMO technologies to achieve wide bandwidth and high throughout, leading to indispensable need...
arXiv:2601.16872v2 Announce Type: replace Abstract: User behavior modeling lies at the heart of personalized applications like recommender systems. With LLM-based agents, user preference representation has...
arXiv:2601.16882v2 Announce Type: replace Abstract: Group recommender systems help users make collective choices but often lack transparency, leaving group members uncertain about why items are...
arXiv:2601.16885v2 Announce Type: replace Abstract: Transformer-based general visual geometry frameworks have shown promising performance in camera pose estimation and 3D scene understanding. Recent advancements in...
arXiv:2110.07478v4 Announce Type: replace-cross Abstract: It is often of interest to infer lower-dimensional structure underlying complex data. As a flexible class of non-linear structures, it...
arXiv:2405.10360v2 Announce Type: replace-cross Abstract: Despite their ever more widespread deployment throughout society, machine learning algorithms remain critically vulnerable to being spoofed by subtle adversarial...
arXiv:2407.10635v3 Announce Type: replace-cross Abstract: Man\v{c}inska and Roberson [FOCS'20] showed that two graphs are quantum isomorphic if and only if they admit the same number...
arXiv:2409.19978v2 Announce Type: replace-cross Abstract: We propose a system identification method, Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous memory (NOMADS), for identifying linear dynamical...
arXiv:2410.05263v2 Announce Type: replace-cross Abstract: Reliable confidence measures of metrics derived from medical imaging reconstruction pipelines would improve the standard of decision-making in many clinical...
arXiv:2410.06329v2 Announce Type: replace-cross Abstract: Obtaining a reliable estimate of the joint probability mass function (PMF) of a set of random variables from observed data...
arXiv:2411.03384v2 Announce Type: replace-cross Abstract: In this paper, we solve stochastic partial differential equations (SPDEs) numerically by using (possibly random) neural networks in the truncated...
arXiv:2412.10985v2 Announce Type: replace-cross Abstract: Cardiac Magnetic Resonance (CMR) imaging is widely used for heart model reconstruction and digital twin computational analysis because of its...
arXiv:2502.08637v3 Announce Type: replace-cross Abstract: A novel pinching antenna system (PASS)-enabled downlink multi-user multiple-input single-output (MISO) framework is proposed. PASS consists of multiple waveguides spanning...