Latest AI/ML News
435 articles · 🧠 Research
arXiv:2606.18734v2 Announce Type: replace-cross Abstract: Accurate, site-specific channel information is crucial for optimizing next-generation wirele…
arXiv:2605.20804v3 Announce Type: replace-cross Abstract: We present a set of improvements to the OlmoEarth family. These improvements allow us to cut…
arXiv:2604.16509v2 Announce Type: replace-cross Abstract: Many robotic exploration algorithms rely on graph structures for frontier-based exploration…
arXiv:2604.05379v2 Announce Type: replace-cross Abstract: The sequential recommendation (SR) task aims to predict the next item based on users' histor…
arXiv:2602.04819v5 Announce Type: replace-cross Abstract: Accurate risk stratification of precancerous polyps during routine colonoscopy screening is…
arXiv:2601.11629v2 Announce Type: replace-cross Abstract: We demonstrate that while the current approaches for language model watermarking are effecti…
arXiv:2512.23596v2 Announce Type: replace-cross Abstract: Does more data improve return prediction? In non-stationary financial markets, longer traini…
arXiv:2510.25692v4 Announce Type: replace-cross Abstract: As machine learning (ML) increasingly underpins critical applications, credible, comparable,…
arXiv:2510.02916v2 Announce Type: replace-cross Abstract: We propose SALSA-V, a multimodal video-to-audio generation model capable of synthesizing hig…
arXiv:2506.14488v2 Announce Type: replace-cross Abstract: Structure-based drug design (SBDD) models are central to modern pharmaceutical research, ena…
arXiv:2404.17429v4 Announce Type: replace-cross Abstract: A natural hypothesis for the success of reservoir computing in generic tasks is the ability…
arXiv:2404.02692v3 Announce Type: replace-cross Abstract: The explosion of data available in life sciences is fueling an increasing demand for express…
arXiv:2402.09589v2 Announce Type: replace-cross Abstract: We present MLCC, a novel technique to augment today's congestion control algorithms to accel…
arXiv:2608.13079v2 Announce Type: replace Abstract: This paper proposes a novel learning-based approach to approximately solve instances of mixed-inte…
arXiv:2608.10433v3 Announce Type: replace Abstract: Models increasingly accompany time-series forecasts with temporal reports---delays, leading indica…
arXiv:2608.04206v2 Announce Type: replace Abstract: Physics-informed neural networks (PINNs) often require high-accuracy quasi-Newton refinement to ob…
arXiv:2608.03929v3 Announce Type: replace Abstract: Aligning diffusion models with human preferences usually relies on a sparse terminal reward evalua…
arXiv:2608.00928v2 Announce Type: replace Abstract: Subtype robustness asks whether a model keeps the correct coarse prediction when test examples com…
arXiv:2607.09816v3 Announce Type: replace Abstract: Class imbalance poses a fundamental challenge in risk-sensitive applications such as fraud detecti…
arXiv:2607.07682v2 Announce Type: replace Abstract: The inverse design of physical systems governed by partial differential equations is computational…