Multi-Objective Coverage via Constraint Active Search
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...
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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...
arXiv:2602.15638v1 Announce Type: new Abstract: Artificial intelligence is increasingly embedded in education, yet there remains a need to explain how students conceptualize AI's role in...
arXiv:2602.15642v1 Announce Type: new Abstract: We present a closed-loop framework for autonomous raceline optimization that combines NURBS-based trajectory representation, CMA-ES global trajectory optimization, and controller-guided...
arXiv:2602.15645v1 Announce Type: new Abstract: Foundation models, including vision language models, are increasingly used in automated driving to interpret scenes, recommend actions, and generate natural...
arXiv:2602.15648v1 Announce Type: new Abstract: Inverse design problems are common in engineering and materials science. The forward direction, i.e., computing output quantities from design parameters,...
arXiv:2602.15649v1 Announce Type: new Abstract: In dynamical systems reconstruction (DSR) we aim to recover the dynamical system (DS) underlying observed time series. Specifically, we aim...
arXiv:2602.15650v1 Announce Type: new Abstract: Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documentation burden, improve reporting consistency, and accelerate clinical workflows....
arXiv:2602.15651v1 Announce Type: new Abstract: This work considers merging two independent models, TTS and A2F, into a unified model to enable internal feature transfer, thereby...
arXiv:2602.15654v1 Announce Type: new Abstract: Self-evolving LLM agents update their internal state across sessions, often by writing and reusing long-term memory. This design improves performance...
arXiv:2602.15656v1 Announce Type: new Abstract: The strawberry (Fragaria x ananassa), known worldwide for its economic value and nutritional richness, is a widely cultivated fruit. Determining...