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arXiv:2602.15571v1 Announce Type: new Abstract: Predictive coding (PC) is a biologically inspired algorithm for training neural networks that relies only on local updates, allowing parallel...
arXiv:2602.15572v1 Announce Type: new Abstract: Agent-based modelling (ABM) is a widespread approach to simulate complex systems. Advancements in computational processing and storage have facilitated the...
arXiv:2602.15578v1 Announce Type: new Abstract: Depression manifests through a diverse set of symptoms such as sleep disturbance, loss of interest, and concentration difficulties. However, most...
arXiv:2602.15579v1 Announce Type: new Abstract: Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts,...
arXiv:2602.15580v1 Announce Type: new Abstract: When a multimodal Transformer answers a visual question, is the prediction driven by visual evidence, linguistic reasoning, or genuinely fused...
arXiv:2602.15584v1 Announce Type: new Abstract: Aligning functional schematics with 2D and 3D scene acquisitions is crucial for building digital twins, especially for old industrial facilities...
arXiv:2602.15586v1 Announce Type: new Abstract: This paper provides statistical guarantees on the accuracy of dynamical models learned from dependent data sequences. Specifically, we develop uniform...
arXiv:2602.15591v1 Announce Type: new Abstract: Testing functionality in Software-Defined Vehicles is challenging because requirements are written in natural language, specifications combine text, tables, and diagrams,...
arXiv:2602.15593v1 Announce Type: new Abstract: Recurrent and deep neural networks (RNNs/DNNs) are cornerstone architectures in machine learning. Remarkably, RNNs differ from DNNs only by weight...
arXiv:2602.15595v1 Announce Type: new Abstract: In this paper, we formulate the new multi-objective coverage (MOC) problem where our goal is to identify a small set...
arXiv:2602.15596v1 Announce Type: new Abstract: Certifying and accelerating execution times of nonlinear model predictive control (NMPC) implementations are two core requirements. Execution-time certificate guarantees that...
arXiv:2602.15600v1 Announce Type: new Abstract: This article investigates the causal antecedents of conflictual language and the geometry of interaction in online threaded conversations related to...
arXiv:2602.15602v1 Announce Type: new Abstract: Certified machine unlearning can be achieved via noise injection leading to differential privacy guarantees, where noise is calibrated to worst-case...
arXiv:2602.15603v1 Announce Type: new Abstract: Models based on partial differential equations (PDEs) are powerful for describing a wide range of complex relationships in the natural...
arXiv:2602.15608v1 Announce Type: new Abstract: Friction is the essential mediator of terrestrial locomotion, yet in robotic systems it is almost always treated as a passive...
arXiv:2602.15613v1 Announce Type: new Abstract: The application of operator overloading algorithmic differentiation (AD) to computer programs in order to compute the derivative is quite common....
arXiv:2602.15614v1 Announce Type: new Abstract: In this paper, we investigate how attackers can discover sensitive information embedded within databases by exploiting inference rules. We demonstrate...
arXiv:2602.15617v1 Announce Type: new Abstract: Ensuring user fairness in wireless communications is a fundamental challenge, as balancing the trade-off between fairness and sum rate leads...
arXiv:2602.15620v1 Announce Type: new Abstract: Reinforcement Learning (RL) has significantly improved large language model reasoning, but existing RL fine-tuning methods rely heavily on heuristic techniques...
arXiv:2602.15631v1 Announce Type: new Abstract: Business plan (BP) writing plays a key role in entrepreneurship education by helping learners construct, evaluate, and iteratively refine their...
arXiv:2602.15633v1 Announce Type: new Abstract: Autonomous landing of Uncrewed Aerial Vehicles (UAVs) on oscillating marine platforms is severely constrained by wave-induced multi-frequency oscillations, wind disturbances,...
arXiv:2602.15634v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) learn node representations through iterative network-based message-passing. While powerful, deep GNNs suffer from oversmoothing, where node...
arXiv:2602.15635v1 Announce Type: new Abstract: Cumulative constraints are central in scheduling with constraint programming, yet propagation is typically performed per constraint, missing multi-resource interactions and...
arXiv:2602.15637v1 Announce Type: new Abstract: Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMSE), implicitly weighting evaluation by regime prevalence. In systems...