| 2026 | ICALP | Unique Decoding of Reed-Solomon and Related Codes for Semi-Adversarial Errors. | Joshua Brakensiek, Yeyuan Chen, Manik Dhar, Zihan Zhang |
| 2026 | STOC | Combinatorial Bounds for List Recovery via Discrete Brascamp-Lieb Inequalities. | Joshua Brakensiek, Yeyuan Chen, Manik Dhar, Zihan Zhang |
| 2026 | STOC | From Random to Explicit via Subspace Designs with Applications to Local Properties and Matroids. | Joshua Brakensiek, Yeyuan Chen, Manik Dhar, Zihan Zhang |
| 2024 | STOC | Generalized GM-MDS: Polynomial Codes Are Higher Order MDS. | Joshua Brakensiek, Manik Dhar, Sivakanth Gopi |
| 2024 | STOC | AG Codes Achieve List Decoding Capacity over Constant-Sized Fields. | Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang |
| 2023 | ISIT | Improved Field Size Bounds for Higher Order MDS Codes. | Joshua Brakensiek, Manik Dhar, Sivakanth Gopi |
| 2023 | ISIT | A construction of Maximally Recoverable LRCs for small number of local groups. | Manik Dhar, Sivakanth Gopi |
| 2022 | FOCS | Linear Hashing with ℓ∞ guarantees and two-sided Kakeya bounds. | Manik Dhar, Zeev Dvir |
| 2018 | AAAI | Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. | Aditya Grover, Manik Dhar, Stefano Ermon |
| 2018 | ICML | Modeling Sparse Deviations for Compressed Sensing using Generative Models. | Manik Dhar, Aditya Grover, Stefano Ermon |
| 2016 | ICPR | Robust kernel principal nested spheres. | Suyash P. Awate, Manik Dhar, Nilesh Kulkarni |