Manik Dhar

According to our database, Manik Dhar authored at least 14 papers between 2016 and 2024.

Collaborative distances:

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

2024

Improved Field Size Bounds for Higher Order MDS Codes.

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi

IEEE Trans. Inf. Theory, October, 2024

Furstenberg Sets in Finite Fields: Explaining and Improving the Ellenberg-Erman Proof.

Manik Dhar, Zeev Dvir, Ben Lund

Discret. Comput. Geom., March, 2024

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

Joshua Brakensiek, Manik Dhar, Jiyang Gao, Sivakanth Gopi, Matt Larson

CoRR, 2024

AG Codes Achieve List Decoding Capacity over Constant-Sized Fields.

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Generalized GM-MDS: Polynomial Codes Are Higher Order MDS.

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

2023

Beyond the polynomial method: Kakeya sets over finite rings and high dimensional variants

Manik Dhar

PhD thesis, 2023

AG codes achieve list decoding capacity over contant-sized fields.

Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang

CoRR, 2023

A construction of Maximally Recoverable LRCs for small number of local groups.

Manik Dhar, Sivakanth Gopi

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Linear Hashing with ℓ_∞ guarantees and two-sided Kakeya bounds.

Manik Dhar, Zeev Dvir

Electron. Colloquium Comput. Complex., 2022

Linear Hashing with ℓ∞ guarantees and two-sided Kakeya bounds.

Manik Dhar, Zeev Dvir

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

2018

Modeling Sparse Deviations for Compressed Sensing using Generative Models.

Manik Dhar, Aditya Grover, Stefano Ermon

Proceedings of the 35th International Conference on Machine Learning, 2018

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models.

Aditya Grover, Manik Dhar, Stefano Ermon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Flow-GAN: Bridging implicit and prescribed learning in generative models.

Aditya Grover, Manik Dhar, Stefano Ermon

CoRR, 2017

2016

Robust kernel principal nested spheres.

Suyash P. Awate, Manik Dhar, Nilesh Kulkarni

Proceedings of the 23rd International Conference on Pattern Recognition, 2016