Sanketh Vedula
PhD Candidate, Technion
Taub 534
The Computer Science Department, Technion
Haifa, Israel 32000
I’m a PhD student at the Computer Science Department, Technion – Israel Institute of Technology advised by Prof. Alex Bronstein.
I work on problems in robust and reliable machine learning, geometric deep learning, and computational imaging. I am broadly interested in anything involving statistics, optimization, machine learning, and their scientific applications.
I aspire to build solutions for challenging problems that have real-world impact. I enjoy doing research, learning, and discussing ideas with people.
In parallel to my MSc and PhD studies, I worked as a Data Scientist at Sibylla Ltd. (a seed funded startup, Technion spin-off) building mid-frequency quant-trading and portfolio management strategies.
I received an M.Sc. (cum laude) in Computer Science from Technion in 2020, where I was advised by Prof. Alex Bronstein and Dr. Michael Zibulevsky. During my masters’ research, we proposed efficient learning-based designs for different imaging systems. Earlier, I obtained a B.Eng. (Hons.) in Computer Science from BITS Pilani in 2017.
news
Jan 1, 2024 | Visiting IST Austria |
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Oct 28, 2023 | Awarded excellence scholarship by ISTRC (2023-24) |
Oct 20, 2023 | Two papers accepted at VLDB 2024 |
Jun 19, 2023 | Two papers accepted to ICML Workshops |
Feb 7, 2023 | GRACE at ASPLOS 2023 |
Feb 1, 2023 | Fast & Nonlinear VQR at ICLR 2023 |
Oct 28, 2022 | Awarded excellence scholarship by ISTRC (2022-23) |
selected publications
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ICML WorkshopContinuous Vector Quantile RegressionIn ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems 2023
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ICML WorkshopVector Quantile Regression on ManifoldsIn ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems 2023
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MSMLSpectral Geometric Matrix CompletionIn Proceedings of the Second Mathematical and Scientific Machine Learning Conference (MSML), 2021