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arXiv:2511.05275v2 Announce Type: replace Abstract: Vision-language-action models (VLAs) trained on large-scale robotic datasets have demonstrated strong performance on manipulation tasks, including bimanual tasks. However, because...
arXiv:2511.05640v2 Announce Type: replace Abstract: Inverse Game Theory (IGT) methods based on the entropy-regularized Quantal Response Equilibrium (QRE) offer a tractable approach for competitive settings,...
arXiv:2511.06450v2 Announce Type: replace Abstract: Multi-modal fusion methods often suffer from two types of representation collapse: feature collapse where individual dimensions lose their discriminative power...
arXiv:2511.06559v2 Announce Type: replace Abstract: With the rapid advancement of generative AI (GenAI), mechanism design adapted to its unique characteristics poses new theoretical and practical...
arXiv:2511.06856v3 Announce Type: replace Abstract: The Schr\"odinger Bridge provides a principled framework for modeling stochastic processes between distributions; however, existing methods are limited by energy-conservation...
arXiv:2511.07399v2 Announce Type: replace Abstract: Generative models are reshaping the live-streaming industry by redefining how content is created, styled, and delivered. Previous image-based streaming diffusion...
arXiv:2511.07730v3 Announce Type: replace Abstract: Learning how to reach goals in an environment is a longstanding challenge in AI, yet reasoning over long horizons remains...
arXiv:2511.08094v2 Announce Type: replace Abstract: Oscillatory Graph Neural Networks (OGNNs) are an emerging class of physics-inspired architectures designed to mitigate oversmoothing and vanishing gradient problems...
arXiv:2511.09731v3 Announce Type: replace Abstract: Radar-based precipitation nowcasting, the task of forecasting short-term precipitation fields from previous radar images, is a critical problem for flood...
arXiv:2511.10376v3 Announce Type: replace Abstract: Embodied navigation is a fundamental capability for robotic agents operating. Real-world deployment requires open vocabulary generalization and low training overhead,...
arXiv:2511.10401v2 Announce Type: replace Abstract: As modern power systems continue to evolve into multi-agent, converter-dominated systems that demand reliable, stable, and optimal control architectures within...
arXiv:2511.11988v4 Announce Type: replace Abstract: We present Graded Projection Recursion (GPR), a framework for converting certain blocked recursive algorithms into model-honest (i.e., reflects full bit...
arXiv:2511.12298v2 Announce Type: replace Abstract: We consider an algebraic multigrid (AMG) scheme for the direct solution of complex-valued square linear systems based on a recursive...
arXiv:2511.12779v3 Announce Type: replace Abstract: We study the problem of efficiently estimating policies that simultaneously optimize multiple objectives in reinforcement learning (RL). Given $n$ objectives...
arXiv:2511.14478v4 Announce Type: replace Abstract: Agentic AI systems have recently emerged as a critical and transformative approach in artificial intelligence, offering capabilities that extend far...
arXiv:2511.14722v2 Announce Type: replace Abstract: Fair resource division algorithms, like those implemented in Spliddit platform, have traditionally been considered difficult for the end users to...
arXiv:2511.15690v2 Announce Type: replace Abstract: Mixture-of-Experts (MoE) Multimodal large language models (MLLMs) excel at vision-language tasks, but they suffer from high computational inefficiency. To reduce...
arXiv:2511.16175v2 Announce Type: replace Abstract: Recent advances in Vision-Language-Action (VLA) models demonstrate that visual signals can effectively complement sparse action supervisions. However, letting VLA directly...
arXiv:2511.17439v2 Announce Type: replace Abstract: Continual learning is a fundamental challenge in artificial intelligence that requires networks to acquire new knowledge while preserving previously learned...
arXiv:2511.17621v2 Announce Type: replace Abstract: As foundation models are increasingly deployed as interacting agents in multi-agent systems, their collective behavior raises new challenges for trustworthiness,...
arXiv:2511.17628v3 Announce Type: replace Abstract: Precipitation nowcasting, which aims to provide high spatio-temporal resolution precipitation forecasts by leveraging current radar observations, is a core task...
arXiv:2511.18729v3 Announce Type: replace Abstract: Driving planning is a critical component of end-to-end (E2E) autonomous driving. However, prevailing Imitative E2E Planners often suffer from multimodal...
arXiv:2511.18943v2 Announce Type: replace Abstract: Standard Virtual Element Methods (VEM) are based on polynomial projections and require a stabilization term to evaluate the contribution of...
arXiv:2511.18945v3 Announce Type: replace Abstract: We propose a fully data-driven approach to designing mutual information (MI) estimators. Since any MI estimator is a function of...