Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.06980v1 Announce Type: new Abstract: Sensing technologies have advanced rapidly across industries ranging from energy to automotive manufac…
arXiv:2610.06974v1 Announce Type: new Abstract: Knowledge graph embedding (KGE) methods represent entities and predicates in continuous vector spaces…
arXiv:2610.06970v1 Announce Type: new Abstract: Egocentric bimanual hand pose estimation is important for virtual interaction, wearable control, and r…
arXiv:2610.06952v1 Announce Type: new Abstract: Neural PDE solvers can achieve low prediction errors, but do they reproduce the dynamics of the system…
arXiv:2610.06950v1 Announce Type: new Abstract: Injecting skills into a frozen language model currently costs a million parameters and a reinforcement…
arXiv:2610.06942v1 Announce Type: new Abstract: Deep learning models, particularly recurrent neural networks and their variants, such as long short-te…
arXiv:2610.06936v1 Announce Type: new Abstract: Irregular multivariate time series forecasting is a challenging yet important problem in real-world ap…
arXiv:2610.06931v1 Announce Type: new Abstract: In this paper, we study the sample complexities of value and policy learning in finite discounted Mark…
arXiv:2610.06927v1 Announce Type: new Abstract: The key-value (KV) cache of autoregressive transformers grows linearly with context length and dominat…
arXiv:2610.06918v1 Announce Type: new Abstract: We study federated reinforcement learning in which multiple agents interact with a common Markov decis…
arXiv:2610.06890v1 Announce Type: new Abstract: We present an industry experience report on three years of operating an event-driven cloud infrastruct…
arXiv:2610.06883v1 Announce Type: new Abstract: Neural operators provide fast surrogates for time-dependent PDEs, but autoregressive deployment create…
arXiv:2610.06881v1 Announce Type: new Abstract: In this paper, a comparative review of different hybrid models for short-term forecasting of building…
arXiv:2610.06880v1 Announce Type: new Abstract: Machine learning classifiers for bearing fault detection produce scalar confidence scores that conflat…
arXiv:2610.06861v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become the dominant paradigm for eliciting m…
arXiv:2610.06855v1 Announce Type: new Abstract: Scalable driver identification requires embedding models that maintain discriminative performance as f…
arXiv:2609.18682v2 Announce Type: replace-cross Abstract: This paper provides a self-contained proof of the rank of the pathlifting Jacobian of a DAG…
arXiv:2607.20411v2 Announce Type: replace-cross Abstract: We prove strong laws of large numbers for random functions in the Lipschitz pseudometric. Ou…
arXiv:2607.17384v3 Announce Type: replace-cross Abstract: This paper provides an experimentally verified formal law for calculating the uplift that di…
arXiv:2607.15942v2 Announce Type: replace-cross Abstract: Remote sensing vision-language models are increasingly expected to support open-ended reason…