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2020 – today
- 2024
[j1]Kuangdai Leng
, Mallikarjun Shankar, Jeyan Thiyagalingam:
Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. J. Comput. Phys. 505: 112904 (2024)- [c2]Kuangdai Leng, Robert Atwood, Winfried Kockelmann, Deniza Chekrygina, Jeyan Thiyagalingam:
Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering. VISIGRAPP (2): VISAPP 2024: 575-586 - [i5]Shiqian Li, Zhi Li, Zhancun Mu, Shiji Xin, Zhixiang Dai, Kuangdai Leng, Ruihua Zhang, Xiaodong Song, Yixin Zhu:
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI. CoRR abs/2406.18202 (2024) - [i4]Kuangdai Leng, Jia Bi, Jaehoon Cha, Samuel Pinilla, Jeyan Thiyagalingam:
Deep Learning Evidence for Global Optimality of Gerver's Sofa. CoRR abs/2407.11106 (2024) - 2023
- [c1]Kuangdai Leng, Jeyan Thiyagalingam:
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. ICMLA 2023: 233-240 - [i3]Kuangdai Leng, Jeyan Thiyagalingam:
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels. CoRR abs/2309.06370 (2023) - [i2]Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam:
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning. CoRR abs/2311.00860 (2023) - 2022
- [i1]Kuangdai Leng, Jeyan Thiyagalingam:
On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning. CoRR abs/2212.00270 (2022)
Coauthor Index
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