This survey develops a unified perspective by organizing probabilistic forecasting methods according to where and how uncertainty is introduced into the forecasting pipeline, and identifies unresolved challenges surrounding uncertainty in evolving dependency structures, physics-informed predictive distributions, foreca...
Donia Besher, Rajdeep Pathak, Madhurima Panja et al.· 0 citations
A lightweight deep generative framework, namely ANGLE, is introduced for non-parametric distributional regression on the circle and superior predictive performance and robust uncertainty quantification of the proposed method in these tasks are revealed.
SIGMA converts natural-language emergency commands into priority vectors for a multi-objective actor-critic controller, avoiding manual reward engineering and offers a reliable, language-guided, multi-objective traffic control system with statistical reliability assurance.
Pratham Payra, B. Jagadish, T. Sen et al.· 0 citations
Two variants of Echo State Networks (ESN) are introduced: Fractional ESN (fESN), which incorporates fractional-differencing dynamics into the reservoir to encode long-range dependence directly, and Wavelet ESN (wESN), which extracts stable low-frequency components through wavelet smoothing before modeling them with a m...
R. Goswami, Shinjini Paul, P. Ghosh et al.· arXiv.org· 0 citations
TREA-Net is proposed, a Transferable Residual Epidemiological Adaptation Network for dengue forecasting under limited data that improves the corresponding backbone in 9 out of 10 settings, with statistically significant gains.
