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Sanketh Vedula

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

8

Active years

2018–2025

Best venue rank

A*

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2025ICMIFrom Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling.Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein
2025ICMLInverse problems with experiment-guided AlphaFold.Sai Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander M. Bronstein
2024AISTATSVector Quantile Regression on Manifolds.Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodol, Alex M. Bronstein
2023ASPLOSGRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023ICLRFast Nonlinear Vector Quantile Regression.Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein
2022MICROMint: An Accelerator For Mining Temporal Motifs.Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
2020ICASSPJoint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI.Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2020MICCAI3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein
2019MICCAISelf-supervised Learning of Inverse Problem Solvers in Medical Imaging.Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2018MICCAIHigh Frame-Rate Cardiac Ultrasound Imaging with Deep Learning.Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018MICCAIHigh Quality Ultrasonic Multi-line Transmission Through Deep Learning.Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini