Sanketh Vedula

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Quantile Regression

Ultrasound Imaging

Medical Imaging

Top Venues

Proc. VLDB Endow.

Publications

Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, Alexander M. Bronstein
Scalable unsupervised alignment of general metric and non-metric structures. CoRR (2024)
Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
Vector Quantile Regression on Manifolds. AISTATS (2024)
Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) (2023)
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs. CoRR (2023)
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs. Proc. VLDB Endow. 17 (2) (2023)
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. 17 (3) (2023)
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR (2023)
Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein
Fast Nonlinear Vector Quantile Regression. ICLR (2023)
Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
Vector Quantile Regression on Manifolds. CoRR (2023)
Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein
Fast Nonlinear Vector Quantile Regression. CoRR (2022)
Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
Mint: An Accelerator For Mining Temporal Motifs. MICRO (2022)
Amit Boyarski, Sanketh Vedula, Alexander M. Bronstein
Spectral Geometric Matrix Completion. MSML (2021)
Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alexander M. Bronstein
Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging. MLSP (2021)
Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alex M. Bronstein
Joint optimization of system design and reconstruction in MIMO radar imaging. CoRR (2021)
Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. MLMIR@MICCAI (2020)
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP (2020)
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein
Towards learned optimal q-space sampling in diffusion MRI. CoRR (2020)
Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. CoRR (2020)
Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Self-supervised learning of inverse problem solvers in medical imaging. CoRR (2019)
Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI (2019)
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Learning Fast Magnetic Resonance Imaging. CoRR (2019)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Learning beamforming in ultrasound imaging. MIDL (2019)
Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR (2019)
Amit Boyarski, Sanketh Vedula, Alex M. Bronstein
Deep geometric matrix completion: Are we doing it right? CoRR (2019)
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
High frame-rate cardiac ultrasound imaging with deep learning. CoRR (2018)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI (2018)
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) (2018)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Learning beamforming in ultrasound imaging. CoRR (2018)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
High quality ultrasonic multi-line transmission through deep learning. CoRR (2018)
Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR (2017)