activity
20202026
most citedSingularity of random integer matrices with large entries

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CC2026

A simplified proof of polynomial improvements for 3SUM and APSP

Sankeerth Rao Karingula, Shachar Lovett

We give a simplified proof of the polynomial improvements for integer 3SUM and all-pairs shortest paths (APSP) established by Alman and Vassilevska Williams, with weaker exponents.…

math.CO2026

Limitations of the slice rank method in additive combinatorics

Sankeerth Rao Karingula, Shachar Lovett

The slice rank method gives exponential bounds for sets with no three-term arithmetic progression in finite vector spaces of odd characteristic and for three-sunflower-free familie…

math.CO2026

An elementary proof of the Komlós conjecture

Sankeerth Rao Karingula, Shachar Lovett

We give an elementary proof of the Komlós conjecture by simplifying the recent proof of Guo, Fang, and Lu. We show that any vectors with $\|v_i\|_2\…

cs.LG2021

Time Series Anomaly Detection with label-free Model Selection

Deokwoo Jung, Nandini Ramanan, Mehrnaz Amjadi +3

Anomaly detection for time-series data becomes an essential task for many data-driven applications fueled with an abundance of data and out-of-the-box machine-learning algorithms.…

cs.LG2021

Boosted Embeddings for Time Series Forecasting

Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi +7

Time series forecasting is a fundamental task emerging from diverse data-driven applications. Many advanced autoregressive methods such as ARIMA were used to develop forecasting mo…

cs.CC2020★ 2 cited

Singularity of random integer matrices with large entries

Sankeerth Rao Karingula, Shachar Lovett

We study the singularity probability of random integer matrices. Concretely, the probability that a random matrix, with integer entries chosen uniformly from $\{-m,\ld…