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Manik Dhar
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 18
Top Topics
Multidimensional Scaling
Higher Order
Generative Model
Top Venues
CoRR
ISIT
STOC
Discret. Comput. Geom.
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Publications
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Joshua Brakensiek
,
Manik Dhar
,
Jiyang Gao
,
Sivakanth Gopi
,
Matt Larson
Rigidity matroids and linear algebraic matroids with applications to matrix completion and tensor codes.
CoRR
(2024)
Manik Dhar
,
Zeev Dvir
,
Ben Lund
Furstenberg Sets in Finite Fields: Explaining and Improving the Ellenberg-Erman Proof.
Discret. Comput. Geom.
71 (2) (2024)
Joshua Brakensiek
,
Manik Dhar
,
Sivakanth Gopi
,
Zihan Zhang
AG Codes Achieve List Decoding Capacity over Constant-Sized Fields.
STOC
(2024)
Joshua Brakensiek
,
Manik Dhar
,
Sivakanth Gopi
Generalized GM-MDS: Polynomial Codes Are Higher Order MDS.
STOC
(2024)
Joshua Brakensiek
,
Manik Dhar
,
Sivakanth Gopi
Generalized GM-MDS: Polynomial Codes are Higher Order MDS.
CoRR
(2023)
Joshua Brakensiek
,
Manik Dhar
,
Sivakanth Gopi
,
Zihan Zhang
AG codes achieve list decoding capacity over contant-sized fields.
CoRR
(2023)
Manik Dhar
,
Sivakanth Gopi
A construction of Maximally Recoverable LRCs for small number of local groups.
ISIT
(2023)
Joshua Brakensiek
,
Manik Dhar
,
Sivakanth Gopi
Improved Field Size Bounds for Higher Order MDS Codes.
ISIT
(2023)
Manik Dhar
,
Zeev Dvir
guarantees and two-sided Kakeya bounds.
CoRR
(2022)
Manik Dhar
,
Zeev Dvir
Linear Hashing with ℓ∞ guarantees and two-sided Kakeya bounds.
FOCS
(2022)
Manik Dhar
,
Zeev Dvir
guarantees and two-sided Kakeya bounds.
Electron. Colloquium Comput. Complex.
(2022)
Manik Dhar
,
Sivakanth Gopi
A construction of Maximally Recoverable LRCs for small number of local groups.
CoRR
(2022)
Joshua Brakensiek
,
Manik Dhar
,
Sivakanth Gopi
Improved Field Size Bounds for Higher Order MDS Codes.
CoRR
(2022)
Manik Dhar
,
Aditya Grover
,
Stefano Ermon
Modeling Sparse Deviations for Compressed Sensing using Generative Models.
ICML
(2018)
Aditya Grover
,
Manik Dhar
,
Stefano Ermon
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models.
AAAI
(2018)
Manik Dhar
,
Aditya Grover
,
Stefano Ermon
Modeling Sparse Deviations for Compressed Sensing using Generative Models.
CoRR
(2018)
Aditya Grover
,
Manik Dhar
,
Stefano Ermon
Flow-GAN: Bridging implicit and prescribed learning in generative models.
CoRR
(2017)
Suyash P. Awate
,
Manik Dhar
,
Nilesh Kulkarni
Robust kernel principal nested spheres.
ICPR
(2016)