Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.08561v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a standard tool for post-training language models on reasoning…
arXiv:2610.08553v1 Announce Type: new Abstract: Sequential test-time training adapts a memory network through successive updates, each computing an in…
arXiv:2610.08538v1 Announce Type: new Abstract: Probabilistic load forecasting has been widely studied for power-system operation and planning, but cu…
arXiv:2610.08537v1 Announce Type: new Abstract: In the field of Explainable AI (XAI), counterfactual (CF) explanations interpret a model's decision by…
arXiv:2610.08534v1 Announce Type: new Abstract: Understanding the principles behind Shampoo has recently guided the development of more effective neur…
arXiv:2610.08527v1 Announce Type: new Abstract: Hybrid architectures combining linear sequence models with softmax attention provide an effective bala…
arXiv:2610.08479v1 Announce Type: new Abstract: Few-shot meta-learning traditionally formulates task adaptation either as analytical gradient descent…
arXiv:2610.08475v1 Announce Type: new Abstract: In many-query scenarios, data-driven surrogate models provide an efficient alternative to high-fidelit…
arXiv:2610.08457v1 Announce Type: new Abstract: Integrated circuit design involves multiple design stages: logic synthesis, floorplanning, placement,…
arXiv:2610.08420v1 Announce Type: new Abstract: We establish a polynomial sample complexity separation between symmetry-aware and symmetry-agnostic fe…
arXiv:2610.08403v1 Announce Type: new Abstract: Large Language Models (LLMs) require substantial computational resources, limiting their deployment on…
arXiv:2610.08402v1 Announce Type: new Abstract: Multi-turn LLM agents often receive sparse task feedback across several interactions, while generating…
arXiv:2610.08400v1 Announce Type: new Abstract: Large-scale self-supervised pretraining has reshaped modern machine learning, substantially advancing…
arXiv:2610.08384v1 Announce Type: new Abstract: In this work, we consider decision-focused learning (DFL) for a Markov decision process (MDP), where e…
arXiv:2610.08368v1 Announce Type: new Abstract: Developing long-acting injectable formulations requires the simultaneous optimization of drug loading,…
arXiv:2610.08367v1 Announce Type: new Abstract: Several discrete design tasks, such as molecular discovery, require diverse collections of useful cand…
arXiv:2610.08355v1 Announce Type: new Abstract: Flow-matching models start from an isotropic Gaussian source, the standard choice when the correlation…
arXiv:2610.08353v1 Announce Type: new Abstract: While graph neural networks (GNNs) have shown substantial promise in connectome-based diagnostic class…
arXiv:2610.08322v1 Announce Type: new Abstract: Selective forecasting abstains on high-risk test windows under a retained-coverage budget. Existing ga…
arXiv:2610.08296v1 Announce Type: new Abstract: Generative models have the potential to accelerate inorganic materials discovery by enabling inverse d…