Sanketh Vedula

36 papers A* 3A 1B 1Misc 1Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inference-time optimization for experiment-grounded protein ensemble generation. CoRR Sai Advaith Maddipatla, Anar Rzayev, Marco Pegoraro, Martin Pacesa, Paul Schanda, Ailie Marx, Sanketh Vedula, Alex M. Bronstein
2025	B	`conf`	From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. ICMI Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein
2025	J	`jnl`	From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. CoRR Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein
2025	A*	`conf`	Inverse problems with experiment-guided AlphaFold. ICML Sai Advaith Maddipatla, Nadav Bojan Sellam, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander M. Bronstein
2025	J	`jnl`	Representing local protein environments with atomistic foundation models. CoRR Meital Bojan, Sanketh Vedula, Sai Advaith Maddipatla, Nadav Bojan Sellam, Federico Napoli, Paul Schanda, Alex M. Bronstein
2024	J	`jnl`	Generative modeling of protein ensembles guided by crystallographic electron densities. CoRR Sai Advaith Maddipatla, Nadav Bojan Sellam, Sanketh Vedula, Ailie Marx, Alexander M. Bronstein
2024	J	`jnl`	Scalable unsupervised alignment of general metric and non-metric structures. CoRR Sanketh Vedula, Valentino Maiorca, Lorenzo Basile, Francesco Locatello, Alexander M. Bronstein
2024	A	`conf`	Vector Quantile Regression on Manifolds. AISTATS Marco Pegoraro, Sanketh Vedula, Aviv Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
2023	J	`jnl`	Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023	J	`jnl`	Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023	J	`jnl`	Everest: GPU-Accelerated System For Mining Temporal Motifs. CoRR Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
2023	J	`jnl`	Everest: GPU-Accelerated System For Mining Temporal Motifs. Proc. VLDB Endow. Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
2023	A*	`conf`	Fast Nonlinear Vector Quantile Regression. ICLR Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein
2023	—	`conf`	GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
2023	J	`jnl`	Vector Quantile Regression on Manifolds. CoRR Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
2022	J	`jnl`	Fast Nonlinear Vector Quantile Regression. CoRR Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein
2022	A*	`conf`	Mint: An Accelerator For Mining Temporal Motifs. MICRO 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
2021	—	`conf`	Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging. MLSP Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alexander M. Bronstein
2021	J	`jnl`	Joint optimization of system design and reconstruction in MIMO radar imaging. CoRR Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alex M. Bronstein
2021	—	`conf`	Spectral Geometric Matrix Completion. MSML Amit Boyarski, Sanketh Vedula, Alexander M. Bronstein
2020	—	`conf`	3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. MLMIR@MICCAI Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein
2020	J	`jnl`	3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. CoRR Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein
2020	Misc	`conf`	Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2020	J	`jnl`	Towards learned optimal q-space sampling in diffusion MRI. CoRR Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein
2019	J	`jnl`	Deep geometric matrix completion: Are we doing it right? CoRR Amit Boyarski, Sanketh Vedula, Alex M. Bronstein
2019	J	`jnl`	Learning Fast Magnetic Resonance Imaging. CoRR Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	—	`conf`	Learning beamforming in ultrasound imaging. MIDL Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2019	—	`conf`	Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	Self-supervised learning of inverse problem solvers in medical imaging. CoRR Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2018	—	`conf`	High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018	—	`conf`	High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
2018	J	`jnl`	High frame-rate cardiac ultrasound imaging with deep learning. CoRR Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018	J	`jnl`	High quality ultrasonic multi-line transmission through deep learning. CoRR Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
2018	J	`jnl`	Learning beamforming in ultrasound imaging. CoRR Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2017	J	`jnl`	Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky