activity
20242026
collaborators

16 papers

math.CO2026

Rigidity matroids and linear algebraic matroids with applications to matrix completion and tensor codes

Joshua Brakensiek, Manik Dhar, Jiyang Gao +2

We establish a connection between problems studied in rigidity theory and matroids arising from linear algebraic constructions like tensor products and symmetric products. A specia…

cs.IT2026

Improved Constructions and Lower Bounds for Maximally Recoverable Grid Codes

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi

In this paper, we continue the study of Maximally Recoverable (MR) Grid Codes initiated by Gopalan et al. [SODA 2017]. More precisely, we study codes over an grid topo…

cs.DS2025

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler

Sivakanth Gopi, Yin Tat Lee, Daogao Liu +2

The development of efficient sampling algorithms catering to non-Euclidean geometries has been a challenging endeavor, as discretization techniques which succeed in the Euclidean s…

cs.IT2025

AG Codes Achieve List-decoding Capacity over Constant-sized Fields

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi +1

The recently-emerging field of higher order MDS codes has sought to unify a number of concepts in coding theory. Such areas captured by higher order MDS codes include maximally rec…

cs.IT2025

Generalized GM-MDS: Polynomial Codes are Higher Order MDS

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi

The GM-MDS theorem, conjectured by Dau-Song-Dong-Yuen and proved by Lovett and Yildiz-Hassibi, shows that the generator matrices of Reed-Solomon codes can attain every possible con…

cs.CV2025

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni +2

Generating differentially private (DP) synthetic data that closely resembles the original private data is a scalable way to mitigate privacy concerns in the current data-driven wor…