Sanketh Vedula

According to our database1, Sanketh Vedula authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Scalable unsupervised alignment of general metric and non-metric structures.
CoRR, 2024

Vector Quantile Regression on Manifolds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.
Proc. VLDB Endow., November, 2023

Everest: GPU-Accelerated System For Mining Temporal Motifs.
Proc. VLDB Endow., 2023

Fast Nonlinear Vector Quantile Regression.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Mint: An Accelerator For Mining Temporal Motifs.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021
Spectral Geometric Matrix Completion.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020
Towards learned optimal q-space sampling in diffusion MRI.
CoRR, 2020

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Deep geometric matrix completion: Are we doing it right?
CoRR, 2019

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI.
CoRR, 2019

Learning Fast Magnetic Resonance Imaging.
CoRR, 2019

Learning beamforming in ultrasound imaging.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Self-supervised Learning of Inverse Problem Solvers in Medical Imaging.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018
High Quality Ultrasonic Multi-line Transmission Through Deep Learning.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Towards CT-quality Ultrasound Imaging using Deep Learning.
CoRR, 2017


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