Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.07562v1 Announce Type: new Abstract: Learning an ensemble of GFlowNets to sample from a discrete target distribution has become a common ap…
arXiv:2610.07559v1 Announce Type: new Abstract: Recent progress in tabular foundation models suggests that training on synthetic tasks can substantial…
arXiv:2610.07555v1 Announce Type: new Abstract: Optimal-transport couplings have been shown to reduce training variance in unconditional flow models,…
arXiv:2610.07553v1 Announce Type: new Abstract: LoRA fine-tuning adapts small language models (SLMs) to heterogeneous instruction data within a low-ra…
arXiv:2610.07550v1 Announce Type: new Abstract: Random access (RA) is one of the most foundational medium access control (MAC) layer scheduling scheme…
arXiv:2610.07540v1 Announce Type: new Abstract: Robotic systems often exhibit unstable modes, along which small perturbations and disturbances can cau…
arXiv:2610.07529v1 Announce Type: new Abstract: Wave-based processors promise fast, energy-efficient Fourier layers for neural operators. They are usu…
arXiv:2610.07522v1 Announce Type: new Abstract: Post-training quantization is a powerful tool for compressing large language models. The most scalable…
arXiv:2610.07518v1 Announce Type: new Abstract: Safety auditing of post-trained large language models typically relies on model behavior, requiring mo…
arXiv:2610.07499v1 Announce Type: new Abstract: Multimodal wearable systems must remain reliable when sensor streams become noisy or unavailable. Exis…
arXiv:2610.07491v1 Announce Type: new Abstract: When multiple agents share a cost budget, a common Lagrange multiplier can enforce the aggregate const…
arXiv:2610.07485v1 Announce Type: new Abstract: We study estimating rare-event probabilities $I = \mathbb{P}(g(\mathbf{X}) > \gamma)$ with $\mathbf{X}…
arXiv:2610.07484v1 Announce Type: new Abstract: Self-supervised EEG models often reconstruct masked waveforms or predict discrete codes. We study a ta…
arXiv:2610.07475v1 Announce Type: new Abstract: Adapting a reinforcement learning policy to changes in another agent's behavior typically requires a l…
arXiv:2610.07470v1 Announce Type: new Abstract: Combinatorial Thompson sampling (CTS) draws independent posterior samples for every arm, so its explor…
arXiv:2610.07466v1 Announce Type: new Abstract: Multimodal systems often encode every available input, even when a subset suffices for prediction. Ada…
arXiv:2610.07458v1 Announce Type: new Abstract: Hypergraphs offer a natural framework for modeling networked data, where dependencies among entities a…
arXiv:2610.07457v1 Announce Type: new Abstract: Fine-grained mixed-precision quantization promises efficient large language model inference, but local…
arXiv:2610.07452v1 Announce Type: new Abstract: Accurate forecasting of pathological outcomes is a central problem in psychology. To do so, psychologi…
arXiv:2610.07447v1 Announce Type: new Abstract: Autoresearch agents tackle open-ended problems by repeatedly proposing candidate solutions, evaluating…