ITTAI RUBINSTEIN
Hi!
My name is Ittai Rubinstein.
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I am a first year phd student at MIT, where I mostly work on robust learning theory with Sam Hopkins.
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Before coming to MIT, I worked in industry at a quantum computing company called Qedma, where I lead a wonderful research team working on quantum error mitigation.
Before Qedma, I got my masters in CS from the Tel-Aviv University (under the advisement of Muli Safra), and before that, I studied math, physics and computer science at the Technion.
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In my free time I enjoy hiking and biking.
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Please feel free to get in touch at:
Publications & Preprints
Independent Research
Ittai Rubinstein, Roni Con; Improved Upper and Lower Bounds on the Capacity of the Binary Deletion Channel, ISIT 2023
Ittai Rubinstein; Average-Case to (shifted) Worst-Case Reduction for the Trace Reconstruction Problem, ICALP 2023
Ittai Rubinstein; Explicit and Efficient Construction of (nearly) Optimal Rate Codes for the Binary Deletion Channel and the Poisson Repeat Channel, ICALP 2022
As part of my masters thesis
Yaron Oz, Ittai Rubinstein, Muli Safra; Multivariate Generating Functions for Information Spread on Multi-Type Random Graphs, Journal of Statistical Mechanics 2022
Yaron Oz, Ittai Rubinstein, Muli Safra; Heterogeneity and Superspreading Effect on Herd Immunity, Journal of Statistical Mechanics 2021
Yaron Oz, Ittai Rubinstein, Muli Safra; Superspreaders and High Variance Infectious Diseases, Journal of Statistical Mechanics 2021
Following my bachelor's degree
Ron Ziv, Alex Dikopoltsev, Tom Zahavy, Ittai Rubinstein, Pavel Sidorenko, Oren Cohen, Mordechai Segev; Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot, Optics express 2020