Smita Krishnaswamy

Associate Professor@Yale University·美国·OpenReview

研究方向

Deep Learning · Computational Biology · Manifold Learning · Computational Neuroscience · Unsupervised learning · Learning on Graphs · Generative modeling · Neural ODEs and SDEs

5.3

A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks

ICLR 2026Withdrawn

通讯

2.0

$RNAGenScape$: Property-Guided Optimization and Interpolation of mRNA Sequences with Manifold Langevin Dynamics

ICLR 2026Withdrawn

通讯

7.3

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts

NeurIPS 2025Poster

6.8

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

合作者 (20)

Smita Krishnaswamy

CellForge: Agentic Design of Virtual Cell Models

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data

BDN: Blaschke Decomposition Networks

A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks

$RNAGenScape$: Property-Guided Optimization and Interpolation of mRNA Sequences with Manifold Langevin Dynamics

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts

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