Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot. - Ron Ziv; Alex Dikopoltsev; Tom Zahavy; Ittai Rubinstein; Pavel Sidorenko; Oren Cohen; Mordechai Segev (CoRR, 2019)

Explicit and Efficient Construction of Nearly Optimal Rate Codes for the Binary Deletion Channel and the Poisson Repeat Channel. - Ittai Rubinstein (ICALP, 2022)

Average-Case to (Shifted) Worst-Case Reduction for the Trace Reconstruction Problem. - Ittai Rubinstein (ICALP, 2023)

Improved Upper and Lower Bounds on the Capacity of the Binary Deletion Channel. - Ittai Rubinstein; Roni Con (ISIT, 2023)

Robustness Auditing for Linear Regression: To Singularity and Beyond. - Ittai Rubinstein; Samuel B. Hopkins 001 (ICLR, 2025)

The Quasi-probability Method and Applications for Trace Reconstruction. - Ittai Rubinstein (SOSA, 2025)

Rescaled Influence Functions: Accurate Data Attribution in High Dimension. - Ittai Rubinstein; Samuel B. Hopkins 001 (CoRR, 2025)