2 papers
cs.LG2026
MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurrency Forecasting
Bowen Liu, Mingming Sun
Forecasting cryptocurrency prices remains a formidable challenge due to inherent non-stationarity, abrupt regime shifts, and multi-scale stochastic dependencies. Conventional deep…
cs.CV2024
VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
Jinze Yang, Haoran Wang, Zining Zhu +3
In this paper, we focus on resolving the problem of image outpainting, which aims to extrapolate the surrounding parts given the center contents of an image. Although recent works…