A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Armin Steinhauser
TinyCast is an attention-free zero-shot forecaster with 146K parameters that computes periodicity via a spectral detector, achieving state-of-the-art probabilistic accuracy at its size.
Unknown
This paper proposes a multi-scale finetuning approach for encoder-based time series foundation models to improve forecasting performance.
Unknown
Proposes Lag-Llama, a univariate probabilistic time-series forecasting model designed for scaling law analyses of time series foundation models.
Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang, et al.
Introduces Complementary Matrix Gating for QKAN-based fast-weight programmers, enabling coordinate-wise memory control and improving quantum dynamics forecasting accuracy.
Simon Lang, Mihai Alexe, Mariana C. A. Clare, et al.
Introduces AIFS-CRPS, an ensemble weather forecasting variant of ECMWF's AIFS, trained with an almost fair CRPS loss, outperforming the physics-based IFS ensemble for most variables and lead times.
Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
Generative models accelerate high-dimensional system simulations by learning effective dynamics on a lower-dimensional manifold and using diffusion models for reconstruction.