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arXiv:2602.19782v1 Announce Type: new Abstract: Mendelian Randomization (MR) is a prominent observational epidemiological research method designed to address unobserved confounding when estimating causal effects. However,...
arXiv:2602.19784v1 Announce Type: new Abstract: The Low-Altitude Economy (LAE) is rapidly emerging as a new technological and industrial frontier, with unmanned aerial vehicles (UAVs), electric...
arXiv:2602.19785v1 Announce Type: new Abstract: As Operational Technology increasingly integrates with Information Technology, the need for Intrusion Detection Systems becomes more important. This paper explores...
arXiv:2602.19786v1 Announce Type: new Abstract: Climate change impacts a broad spectrum of human resources and activities, necessitating the use of climate models to project long-term...
arXiv:2602.19788v1 Announce Type: new Abstract: Meta-learning methods perform well on new within-distribution tasks but often fail when adapting to out-of-distribution target tasks, where transfer from...
arXiv:2602.19789v1 Announce Type: new Abstract: This position paper argues that the machine learning community must move from preaching to practising data frugality for responsible artificial...
arXiv:2602.19790v1 Announce Type: new Abstract: Concept drift -- the change of the distribution over time -- poses significant challenges for learning systems and is of...
arXiv:2602.19802v1 Announce Type: new Abstract: We introduce a diagonalization-based optimization for Linear Echo State Networks (ESNs) that reduces the per-step computational complexity of reservoir state...
arXiv:2602.19805v1 Announce Type: new Abstract: Mamba-based models have drawn much attention in offline RL. However, their selective mechanism often detrimental when key steps in RL...
arXiv:2602.19806v1 Announce Type: new Abstract: We present a Rocq library for monoidal categories, which includes a decision procedure for proving equality of morphisms as well...
arXiv:2602.19809v1 Announce Type: new Abstract: Augmented reality has great potential for embedding data visualizations in the world around the user. While this can enhance users'...
arXiv:2602.19810v1 Announce Type: new Abstract: In January 2026, the open-source agent framework OpenClaw and the agent-only social network Moltbook produced a large-scale dataset of autonomous...
arXiv:2602.19811v1 Announce Type: new Abstract: Analytical workloads exhibit substantial semantic repetition, yet most production caches key entries by SQL surface form (text or AST), fragmenting...
arXiv:2602.19815v1 Announce Type: new Abstract: We present a mobile and desktop keyboard suite for Idu Mishmi, an endangered Trans-Himalayan language spoken by approximately 11,000 people...
arXiv:2602.19816v1 Announce Type: new Abstract: Long-context modeling is essential for symbolic music generation, since motif repetition and developmental variation can span thousands of musical events....
arXiv:2602.19818v1 Announce Type: new Abstract: Model repositories such as Hugging Face increasingly distribute machine learning artifacts serialized with Python's pickle format, exposing users to remote...
arXiv:2602.19819v1 Announce Type: new Abstract: The learning parity with noise (LPN) problem is a well-established computational challenge whose difficulty is critical to the security of...
arXiv:2602.19822v1 Announce Type: new Abstract: Early detection of myometrial invasion is critical for the staging and life-saving management of endometrial carcinoma (EC), a prevalent global...
arXiv:2602.19823v1 Announce Type: new Abstract: Autonomous vision applications in production, intralogistics, or manufacturing environments require perception capabilities beyond a small, fixed set of classes. Recent...
arXiv:2602.19828v1 Announce Type: new Abstract: The growing prevalence of tampered images poses serious security threats, highlighting the urgent need for reliable detection methods. Multimodal large...
arXiv:2602.19831v1 Announce Type: new Abstract: Memory forensics is an effective methodology for analyzing living-off-the-land malware, including threats that employ evasion, obfuscation, anti-analysis, and steganographic techniques....
arXiv:2602.19832v1 Announce Type: new Abstract: The inherent intermittency and high-frequency variability of solar irradiance, particularly during rapid cloud advection, present significant stability challenges to high-penetration...
arXiv:2602.19834v1 Announce Type: new Abstract: We study the problem of robustly reconnecting habitats via the placement of green bridges at minimum total cost. Habitats are...
arXiv:2602.19837v1 Announce Type: new Abstract: Humans are highly effective at utilizing prior knowledge to adapt to novel tasks, a capability that standard machine learning models...