Sidhanth Mohanty
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
5
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SODA | Sparsifying Cayley Graphs on Every Group. | Jun-Ting Hsieh, Daniel Z. Lee, Sidhanth Mohanty, Aaron Putterman, Rachel Yun Zhang |
| 2026 | STOC | Rigorous Implications of the Low-Degree Heuristic. | Jun-Ting Hsieh, Daniel M. Kane, Pravesh K. Kothari, Jerry Li, Sidhanth Mohanty, Stefan Tiegel |
| 2025 | FOCS | Explicit Lossless Vertex Expanders. | Jun-Ting Hsieh, Alexander Lubotzky, Sidhanth Mohanty, Assaf Reiner, Rachel Yun Zhang |
| 2025 | STOC | Explicit Two-Sided Vertex Expanders beyond the Spectral Barrier. | Jun-Ting Hsieh, Ting-Chun Lin, Sidhanth Mohanty, Ryan O'Donnell, Rachel Yun Zhang |
| 2025 | STOC | Weak Poincar Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses. | Brice Huang, Sidhanth Mohanty, Amit Rajaraman, David X. Wu |
| 2024 | FOCS | Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains. | Kuikui Liu, Sidhanth Mohanty, Prasad Raghavendra, Amit Rajaraman, David X. Wu |
| 2024 | FOCS | Fast Mixing in Sparse Random Ising Models. | Kuikui Liu, Sidhanth Mohanty, Amit Rajaraman, David X. Wu |
| 2024 | STOC | Explicit Two-Sided Unique-Neighbor Expanders. | Jun-Ting Hsieh, Theo McKenzie, Sidhanth Mohanty, Pedro Paredes |
| 2024 | STOC | Robust Recovery for Stochastic Block Models, Simplified and Generalized. | Sidhanth Mohanty, Prasad Raghavendra, David X. Wu |
| 2023 | SODA | A simple and sharper proof of the hypergraph Moore bound. | Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty |
| 2023 | STOC | Local and Global Expansion in Random Geometric Graphs. | Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang |
| 2022 | STOC | Testing thresholds for high-dimensional sparse random geometric graphs. | Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang |
| 2021 | FOCS | On statistical inference when fixed points of belief propagation are unstable. | Siqi Liu, Sidhanth Mohanty, Prasad Raghavendra |
| 2021 | ICALP | High-Girth Near-Ramanujan Graphs with Lossy Vertex Expansion. | Theo McKenzie, Sidhanth Mohanty |
| 2021 | SODA | Local Statistics, Semidefinite Programming, and Community Detection. | Jess Banks, Sidhanth Mohanty, Prasad Raghavendra |
| 2020 | FOCS | List Decodable Mean Estimation in Nearly Linear Time. | Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau |
| 2020 | SODA | Untitled record | Sidhanth Mohanty, Ryan O'Donnell |
| 2020 | STOC | Explicit near-Ramanujan graphs of every degree. | Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes |
| 2020 | STOC | Lifting sum-of-squares lower bounds: degree-2 to degree-4. | Sidhanth Mohanty, Prasad Raghavendra, Jeff Xu |
| 2020 | STACS | The SDP Value for Random Two-Eigenvalue CSPs. | Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes |
| 2018 | ICALP | Algorithms for Noisy Broadcast with Erasures. | Ofer Grossman, Bernhard Haeupler, Sidhanth Mohanty |