Smita Krishnaswamy
15 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(6)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(69)
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(10)
Mathematics & Optimization
(6)
Deep Learning
(5)
Models
(4)
Mathematics
(3)
Optimization
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Application Areas
(2)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Keywords
manifold learning
(6)
single-cell rna sequencing
(4)
optimal transport
(3)
point cloud
(2)
riemannian geometry
(2)
trajectory inference
(2)
generative adversarial network
(2)
geodesic distance
(2)
dimensionality reduction
(2)
trajectory modeling
(1)
self-supervised learning
(1)
domain adaptation
(1)
object detection
(1)
image translation
(1)
image generation
(1)
random walk
(1)
graph construction
(1)
graph classification
(1)
spectral analysis
(1)
topological data analysis
(1)
Papers
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
WACV 2026
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
AISTATS 2025
BLIS-Net: Classifying and Analyzing Signals on Graphs
AISTATS 2024
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
MICCAI 2024
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
NeurIPS 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NeurIPS 2022
Diffusion Earth Moverβs Distance and Distribution Embeddings
ICML 2021
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
ICML 2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
NeurIPS 2020
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning
CVPR 2019
Visualizing the PHATE of Neural Networks
NeurIPS 2019
Geometry Based Data Generation
NeurIPS 2018
MAGAN: Aligning Biological Manifolds
ICML 2018