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arXiv:2603.07234v1 Announce Type: new Abstract: The effectiveness of super resolution (SR) models hinges on their ability to recover high frequency structure without introducing artifacts. Diffusion...
arXiv:2603.07235v1 Announce Type: new Abstract: Avoiding redundancy in query results has been extensively studied in relational databases and information retrieval, yet its implications for data...
arXiv:2603.07236v1 Announce Type: new Abstract: Foundation models are transitioning from offline predictors to deployed systems expected to operate over long time horizons. In real deployments,...
arXiv:2603.07237v1 Announce Type: new Abstract: This paper presents a Vehicle-to-Grid (V2G) coordination framework using reinforcement learning (RL). {An intelligent control strategy based on the soft...
arXiv:2603.07238v1 Announce Type: new Abstract: Similarities between language representations derived from Self-Supervised Speech Models (S3Ms) have been observed to primarily reflect geographic proximity or surface...
arXiv:2603.07240v1 Announce Type: new Abstract: Woven fabric materials are widely used in rendering applications, yet designing realistic examples typically involves multiple stages, requiring expertise in...
arXiv:2603.07241v1 Announce Type: new Abstract: Despite the integration of search tools, Deep Search Agents often suffer from a misalignment between reasoning-driven queries and the underlying...
arXiv:2603.07244v1 Announce Type: new Abstract: Slides serve as a critical medium for conveying information in presentation-oriented scenarios such as academia, education, and business. Despite their...
arXiv:2603.07246v1 Announce Type: new Abstract: Geospatial foundation models provide precomputed embeddings that serve as compact feature vectors for large-scale satellite remote sensing data. While these...
arXiv:2603.07247v1 Announce Type: new Abstract: This paper studies an inverse boundary value problem for a semilinear Helmholtz equation with Neumann boundary conditions in a bounded...
arXiv:2603.07248v1 Announce Type: new Abstract: The immersed interface method (IIM) for fluid-structure interaction imposes discontinuities in the fluid stress along immersed boundaries that are generated...
arXiv:2603.07249v1 Announce Type: new Abstract: Second primary cancer (SPC), a new cancer in patients different from previously diagnosed, is a growing concern due to improved...
arXiv:2603.07253v1 Announce Type: new Abstract: A significant element of human cooperative intelligence lies in our ability to identify opportunities for fruitful collaboration; and conversely to...
arXiv:2603.07261v1 Announce Type: new Abstract: Chaotic time series are notoriously difficult to forecast. Small uncertainties in initial conditions amplify rapidly, while strong nonlinearities and regime...
arXiv:2603.07263v1 Announce Type: new Abstract: Audio-visual speech recognition (AVSR) is an extension of ASR that incorporates visual signals. Current AVSR approaches primarily focus on lip...
arXiv:2603.07264v1 Announce Type: new Abstract: Data-efficient learning remains a central challenge in autonomous driving due to the high cost and safety risks of large-scale real-world...
arXiv:2603.07266v1 Announce Type: new Abstract: Integrated Energy Systems (IES) are systems of interconnected electricity, gas, heating, and cooling networks, where the carriers interact and depend...
arXiv:2603.07267v1 Announce Type: new Abstract: Many large language models (LLMs) use reasoning to generate responses but do not reveal their full reasoning traces (a.k.a. chains...
arXiv:2603.07268v1 Announce Type: new Abstract: This paper introduces sketch-oriented databases, a categorical framework that encodes database paradigms as finite-limit sketches and individual databases and schemas...
arXiv:2603.07270v1 Announce Type: new Abstract: Patient no-shows disrupt outpatient clinic operations, reduce productivity, and may delay necessary care. Clinics often adopt overbooking or double-booking to...
arXiv:2603.07271v1 Announce Type: new Abstract: The continuous expansion of task-specific datasets has become a major driver of progress in machine learning. However, discovering newly released...
arXiv:2603.07272v1 Announce Type: new Abstract: We present VisualDeltas, a lightweight preference-learning framework that extracts supervision from visual quality variations in multimodal data. By leveraging the...
arXiv:2603.07274v1 Announce Type: new Abstract: In the present paper we study a non-modular variant of the Short Integer Solution problem over the integers. Given a...
arXiv:2603.07276v1 Announce Type: new Abstract: Flow maps enable high-quality image generation in a single forward pass. However, unlike iterative diffusion models, their lack of an...