Akshay Ramachandran

According to our database, Akshay Ramachandran authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Strongly Polynomial Frame Scaling to High Precision.

Daniel Dadush, Akshay Ramachandran

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2021

Spectral Analysis of Matrix Scaling and Operator Scaling.

Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran

SIAM J. Comput., 2021

Near optimal sample complexity for matrix and tensor normal models via geodesic convexity.

Cole Franks, Rafael Mendes de Oliveira, Akshay Ramachandran, Michael Walter

CoRR, 2021

2018

The Paulsen problem, continuous operator scaling, and smoothed analysis.

Tsz Chiu Kwok, Lap Chi Lau, Yin Tat Lee, Akshay Ramachandran

Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

MLNoC: A Machine Learning Based Approach to NoC Design.

Nishant Rao, Akshay Ramachandran, Amish Shah

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

2017

Sandpile prediction on a tree in near linear time.

Akshay Ramachandran, Aaron Schild

Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017