500 citations · 2k across the 65 of their papers we have counts for
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Transolver-: Joint Spectral-Physical Subspace Modeling for Neural PDE Solving
Haonan Shangguan, Hang Zhou, Haixu Wu +3
Neural solvers offer efficient surrogates for numerical simulation of partial differential equations (PDEs). For time-dependent problems, strong one-step accuracy does not necessar…
Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects
Zhentao Tan, Yuze Hao, Boyi Zou +3
Solving inverse partial differential equation (PDE) problems is a fundamental topic in scientific research due to its broad significance across a wide range of real-world applicati…
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
Yong Liu, Xingjian Su, Shiyu Wang +7
We introduce Timer-S1, a strong Mixture-of-Experts (MoE) time series foundation model with 8.3B total parameters, 0.75B activated parameters for each token, and a context length of…
Efficient ConvBN Blocks for Transfer Learning and Beyond
Kaichao You, Guo Qin, Anchang Bao +4
Convolution-BatchNorm (ConvBN) blocks are integral components in various computer vision tasks and other domains. A ConvBN block can operate in three modes: Train, Eval, and Deploy…