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arXiv:2509.03738v3 Announce Type: replace Abstract: We introduce sparse autoencoder neural operators (SAE-NOs), a new class of sparse autoencoders that operate directly in infinite-dimensional function spaces....
arXiv:2509.03830v3 Announce Type: replace Abstract: Historic urban quarters are increasingly shaped by tourism and lifestyle consumption, yet planners often lack scalable evidence on what visitors...
arXiv:2509.04575v3 Announce Type: replace Abstract: Progress in many task domains emerges from repeated revisions to previous solution attempts. Training agents that can reliably self-improve over...
arXiv:2509.05779v2 Announce Type: replace Abstract: Spatio-temporal (ST) forecasting is critical for dynamic systems, yet existing methods predominantly rely on modeling a limited set of observed...
arXiv:2509.06326v2 Announce Type: replace Abstract: As on-device LLMs(e.g., Apple on-device Intelligence) are widely adopted to reduce network dependency, improve privacy, and enhance responsiveness, verifying the...
arXiv:2509.06685v4 Announce Type: replace Abstract: Recent advances in 3D Gaussian Splatting (3DGS) deliver striking photorealism, and extending it to large scenes opens new opportunities for...
arXiv:2509.10544v2 Announce Type: replace Abstract: We propose ASL360, an adaptive deep reinforcement learning-based scheduler for on-demand 360$^\circ$ video streaming to mobile VR users in next...
arXiv:2509.11826v2 Announce Type: replace Abstract: Current AI writing support tools are largely designed for individuals, complicating collaboration when co-writers must leave the shared workspace to...
arXiv:2509.11851v2 Announce Type: replace Abstract: As large language models (LLMs) become embedded in interactive text generation, disclosure of AI as a source depends on people...
arXiv:2509.12441v3 Announce Type: replace Abstract: Network planning seeks to determine base station parameters that maximize coverage and capacity in cellular networks. However, achieving optimal planning...
arXiv:2509.12746v2 Announce Type: replace Abstract: This paper presents the results of analysing and modelling a set of 8 ``master key filters'', which have been extracted...
arXiv:2509.12846v2 Announce Type: replace Abstract: Visual-inertial fusion is crucial for a large amount of intelligent and autonomous applications, such as robot navigation and augmented reality....
arXiv:2509.13356v2 Announce Type: replace Abstract: The challenge of aligning artificial intelligence (AI) with human values persists due to the abstract and often conflicting nature of...
arXiv:2509.13648v2 Announce Type: replace Abstract: Generative recommendation plays a crucial role in personalized systems, predicting users' future interactions from their historical behavior sequences. A critical...
arXiv:2509.15886v4 Announce Type: replace Abstract: Point cloud segmentation is central to autonomous driving and 3D scene understanding. While voxel- and point-based methods dominate recent research...
arXiv:2509.16650v2 Announce Type: replace Abstract: Achieving both optimality and safety under unknown system dynamics is a central challenge in real-world deployment of agents. To address...
arXiv:2509.18736v3 Announce Type: replace Abstract: For multi-stage recommenders in industry, a user request would first trigger a simple and efficient retriever module that selects and...
arXiv:2509.18949v2 Announce Type: replace Abstract: Bayesian networks (BN) are probabilistic graphical models that enable efficient knowledge representation and inference. These have proven effective across diverse...
arXiv:2509.19405v2 Announce Type: replace Abstract: Accurate outdoor positioning in cellular networks is hindered by sparse, heterogeneous measurement collections and the high cost of exhaustive site...
arXiv:2509.19800v3 Announce Type: replace Abstract: There are two primary approaches to solving Markov decision problems (MDPs): dynamic programming based on the Bellman equation and linear...
arXiv:2509.20648v3 Announce Type: replace Abstract: Autonomous exploration in complex multi-agent reinforcement learning (MARL) with sparse rewards critically depends on providing agents with effective intrinsic motivation....
arXiv:2509.21090v2 Announce Type: replace Abstract: Edge intelligence (EI) allows resource-constrained edge devices (EDs) to offload computation-intensive AI tasks (e.g., visual object detection) to edge servers...
arXiv:2509.21628v4 Announce Type: replace Abstract: The extent to which different biological and artificial neural systems rely on equivalent internal representations to support similar tasks remains...
arXiv:2509.21655v2 Announce Type: replace Abstract: We study inference-time scaling for diffusion models, where the goal is to adapt a pre-trained model to new target distributions...