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arXiv:2602.02250v1 Announce Type: cross Abstract: Kullback-Leibler divergence (KL) regularization is widely used in reinforcement learning, but it becomes infinite under support mismatch and can degenerate...
arXiv:2602.02302v1 Announce Type: cross Abstract: The Bodirsky-Pinsker conjecture asserts a P vs. NP-complete dichotomy for the computational complexity of Constraint Satisfaction Problems (CSPs) of first-order...
arXiv:2602.02310v1 Announce Type: cross Abstract: Transition states (TSs) are central to understanding and quantitatively predicting chemical reactivity and reaction mechanisms. Although traditional TS generation methods...
arXiv:2602.02351v1 Announce Type: cross Abstract: Symmetries play a central role in physics, organizing dynamics, constraining interactions, and determining the effective number of physical degrees of...
arXiv:2602.02358v1 Announce Type: cross Abstract: We introduce a transfer learning framework for regression that leverages heterogeneous source domains to improve predictive performance in a data-scarce...
arXiv:2602.02364v1 Announce Type: cross Abstract: Quantum Machine Learning (QML) is becoming increasingly prevalent due to its potential to enhance classical machine learning (ML) tasks, such...
arXiv:2602.02394v1 Announce Type: cross Abstract: Many problems in nonlinear systems analysis and control design, such as local region-of-attraction estimation, inner-approximations of reachable sets or control...
arXiv:2602.02406v1 Announce Type: cross Abstract: Data-driven algorithm design automates hyperparameter tuning, but its statistical foundations remain limited because model performance can depend on hyperparameters in...
arXiv:2602.02431v1 Announce Type: cross Abstract: It is folklore that reusing training data more than once can improve the statistical efficiency of gradient-based learning. However, beyond...
arXiv:1908.10493v3 Announce Type: replace Abstract: This paper expresses the structure of artificial neural network (ANN) as a functional form, using the activation integral concept derived...
arXiv:2201.00995v3 Announce Type: replace Abstract: While information theory has been introduced to characterize the fundamental limitations of control and filtering for a few decades, the...
arXiv:2205.08287v5 Announce Type: replace Abstract: Can we make a denial-of-service attacker pay more than the server and honest clients? Consider a model where a server...
arXiv:2211.12628v3 Announce Type: replace Abstract: This paper introduces the Generalized Action Governor (AG), a supervisory scheme that augments a nominal closed-loop system with the capability...
arXiv:2301.02333v2 Announce Type: replace Abstract: Multivariate time series analysis is a vital but challenging task, with multidisciplinary applicability, tackling the characterization of multiple interconnected variables...
arXiv:2301.04576v3 Announce Type: replace Abstract: In this article, we present a distributed source-seeking and flocking control method for networked multi-agent systems with non-holonomic constraints. Based...
arXiv:2309.16146v3 Announce Type: replace Abstract: To address the interpretability challenge in machine learning (ML) systems, counterfactual explanations (CEs) have emerged as a promising solution. CEs...
arXiv:2310.06124v2 Announce Type: replace Abstract: Multi-task and multi-domain learning methods seek to learn multiple tasks/domains, jointly or one after another, using a single unified network....
arXiv:2311.18547v2 Announce Type: replace Abstract: Detection of rolling-element bearing faults is crucial for implementing proactive maintenance strategies and for minimizing the economic and operational consequences...
arXiv:2312.05172v2 Announce Type: replace Abstract: Long sentences have been a persistent issue in written communication for many years since they make it challenging for readers...
arXiv:2312.17605v2 Announce Type: replace Abstract: In task and motion planning (TAMP), the ambiguity and underdetermination of abstract descriptions used by task planning methods make it...
arXiv:2402.01934v2 Announce Type: replace Abstract: Clarifying questions are an integral component of modern information retrieval systems, directly impacting user satisfaction and overall system performance. Poorly...
arXiv:2403.00068v2 Announce Type: replace Abstract: Large-scale Vision-Language Models (LVLMs) output text from images and instructions, demonstrating capabilities in text generation and comprehension. However, it has...
arXiv:2403.06564v4 Announce Type: replace Abstract: The Reeb space is a fundamental data structure in computational topology that represents the fiber topology of a multi-field (or...
arXiv:2403.14151v2 Announce Type: replace Abstract: Trajectory computing is a pivotal domain encompassing trajectory data management and mining, garnering widespread attention due to its crucial role...