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Dhananjay Bhaskar

4 accepted papers

2025

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data

NeurIPS 2025poster

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 work is motivated by single-cell data which can have very high-dimensionality --exceeding the capabilities of existing meth…

Cited by 0SourcecodeScholar
2025

Latent Representation Learning for Multimodal Brain Activity Translation

ICASSP 2025accepted

Neuroscience employs diverse neuroimaging techniques, each offering distinct insights into brain activity, from electrophysiological recordings such as EEG, which have high temporal resolution, to hemodynamic modalities such as fMRI, which have increased spatial precision. However, integrating these…

Cited by 0SourceScholar
2025

Principal Curvatures Estimation with Applications to Single Cell Data

ICASSP 2025accepted

The rapidly growing field of single-cell transcriptomic sequencing (scRNAseq) presents challenges for data analysis due to its massive datasets. A common method in manifold learning consists in hypothesizing that datasets lie on a lower dimensional manifold. This allows to study the geometry of poin…

Cited by 0SourceScholar
2022

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data

NeurIPS 2022accept

We introduce a new intrinsic measure of local curvature on point-cloud data called diffusion curvature. Our measure uses the framework of diffusion maps, including the data diffusion operator, to structure point cloud data and define local curvature based on the laziness of a random walk starting at…

Cited by 7SourcePDFScholar