2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems
Kuangdai Leng, Simon Jeffery, Panos Panagos +1
Understanding soil is fundamental to agriculture, carbon cycling, and environmental sustainability, yet progress is limited by fragmented and heterogeneous datasets that constrain…
Deep Learning Evidence for Global Optimality of Gerver's Sofa
Kuangdai Leng, Jia Bi, Jaehoon Cha +2
The Moving Sofa Problem, formally proposed by Leo Moser in 1966, seeks to determine the largest area of a two-dimensional shape that can navigate through an -shaped corridor wit…
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning
Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
Automatic differentiation (AD) is a critical step in physics-informed machine learning, required for computing the high-order derivatives of network output w.r.t. coordinates of co…