1 citations · 1 across the 2 of their papers we have counts for
3 papers
HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
Hiren Madhu, João Felipe Rocha, Tinglin Huang +3
Single-cell transcriptomics and proteomics have become a great source for data-driven insights into biology, enabling the use of advanced deep learning methods to understand cellul…
Learning Pore-scale Multiphase Flow from 4D Velocimetry
Chunyang Wang, Linqi Zhu, Yuxuan Gu +9
Multiphase flow in porous media underpins subsurface energy and environmental technologies, including geological CO storage and underground hydrogen storage, yet pore-scale dyn…
HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data
Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar +7
In this paper, we propose HiPoNet, an end-to-end differentiable neural network for regression, classification, and representation learning on high-dimensional point clouds. Our wor…