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ORCIDSidhanth Mohanty
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2020 – today
- 2024
[c18]Sidhanth Mohanty
, Prasad Raghavendra, David X. Wu:
Robust Recovery for Stochastic Block Models, Simplified and Generalized. STOC 2024: 367-374- [c17]Jun-Ting Hsieh, Theo McKenzie, Sidhanth Mohanty, Pedro Paredes:
Explicit Two-Sided Unique-Neighbor Expanders. STOC 2024: 788-799 - [i23]Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty, David Munhá Correia, Benny Sudakov:
Small Even Covers, Locally Decodable Codes and Restricted Subgraphs of Edge-Colored Kikuchi Graphs. CoRR abs/2401.11590 (2024) - [i22]Sidhanth Mohanty, Prasad Raghavendra, David X. Wu:
Robust recovery for stochastic block models, simplified and generalized. CoRR abs/2402.13921 (2024) - [i21]Kuikui Liu, Sidhanth Mohanty, Amit Rajaraman, David X. Wu:
Fast Mixing in Sparse Random Ising Models. CoRR abs/2405.06616 (2024) - [i20]Kuikui Liu, Sidhanth Mohanty, Prasad Raghavendra, Amit Rajaraman, David X. Wu:
Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains. CoRR abs/2405.20849 (2024) - 2023
- [b1]Sidhanth Mohanty:
Phase Transitions in Inference. University of California, Berkeley, USA, 2023 - [c16]Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty:
A simple and sharper proof of the hypergraph Moore bound. SODA 2023: 2324-2344 - [c15]Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang:
Local and Global Expansion in Random Geometric Graphs. STOC 2023: 817-825 - [i19]Jun-Ting Hsieh, Theo McKenzie, Sidhanth Mohanty, Pedro Paredes:
Explicit two-sided unique-neighbor expanders. CoRR abs/2302.01212 (2023) - 2022
- [j1]Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
Explicit Near-Ramanujan Graphs of Every Degree. SIAM J. Comput. 51(3): 20-1 (2022) - [c14]Jun-Ting Hsieh, Sidhanth Mohanty, Jeff Xu:
Certifying Solution Geometry in Random CSPs: Counts, Clusters and Balance. CCC 2022: 11:1-11:18 - [c13]Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang:
Testing thresholds for high-dimensional sparse random geometric graphs. STOC 2022: 672-677 - [i18]Jun-Ting Hsieh, Pravesh K. Kothari, Sidhanth Mohanty:
A simple and sharper proof of the hypergraph Moore bound. CoRR abs/2207.10850 (2022) - [i17]Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang:
Local and global expansion in random geometric graphs. CoRR abs/2210.00158 (2022) - 2021
- [c12]Siqi Liu, Sidhanth Mohanty, Prasad Raghavendra:
On statistical inference when fixed points of belief propagation are unstable. FOCS 2021: 395-405 - [c11]Theo McKenzie, Sidhanth Mohanty:
High-Girth Near-Ramanujan Graphs with Lossy Vertex Expansion. ICALP 2021: 96:1-96:15 - [c10]Jess Banks, Sidhanth Mohanty, Prasad Raghavendra:
Local Statistics, Semidefinite Programming, and Community Detection. SODA 2021: 1298-1316 - [i16]Siqi Liu, Sidhanth Mohanty, Prasad Raghavendra:
Computational phase transitions in sparse planted problems? CoRR abs/2101.10882 (2021) - [i15]Jun-Ting Hsieh, Sidhanth Mohanty, Jeff Xu:
Certifying solution geometry in random CSPs: counts, clusters and balance. CoRR abs/2106.12710 (2021) - [i14]Shirshendu Ganguly, Theo McKenzie, Sidhanth Mohanty, Nikhil Srivastava:
Many nodal domains in random regular graphs. CoRR abs/2109.11532 (2021) - [i13]Siqi Liu, Sidhanth Mohanty, Tselil Schramm, Elizabeth Yang:
Testing thresholds for high-dimensional sparse random geometric graphs. CoRR abs/2111.11316 (2021) - 2020
- [c9]Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau:
List Decodable Mean Estimation in Nearly Linear Time. FOCS 2020: 141-148 - [c8]Siqi Liu, Sidhanth Mohanty, Elizabeth Yang:
High-Dimensional Expanders from Expanders. ITCS 2020: 12:1-12:32 - [c7]Shafi Goldwasser, Ofer Grossman, Sidhanth Mohanty, David P. Woodruff:
Pseudo-Deterministic Streaming. ITCS 2020: 79:1-79:25 - [c6]Sidhanth Mohanty, Ryan O'Donnell:
X-Ramanujan graphs. SODA 2020: 1226-1243 - [c5]Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
The SDP Value for Random Two-Eigenvalue CSPs. STACS 2020: 50:1-50:45 - [c4]Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
Explicit near-Ramanujan graphs of every degree. STOC 2020: 510-523 - [c3]Sidhanth Mohanty, Prasad Raghavendra, Jeff Xu:
Lifting sum-of-squares lower bounds: degree-2 to degree-4. STOC 2020: 840-853 - [i12]Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau:
List Decodable Mean Estimation in Nearly Linear Time. CoRR abs/2005.09796 (2020) - [i11]Theo McKenzie, Sidhanth Mohanty:
High-girth near-Ramanujan graphs with lossy vertex expansion. CoRR abs/2007.13630 (2020)
2010 – 2019
- 2019
- [i10]Sidhanth Mohanty, Ryan O'Donnell:
X-Ramanujan Graphs. CoRR abs/1904.03500 (2019) - [i9]Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
The SDP value for random two-eigenvalue CSPs. CoRR abs/1906.06732 (2019) - [i8]Siqi Liu, Sidhanth Mohanty, Elizabeth Yang:
High-Dimensional Expanders from Expanders. CoRR abs/1907.10771 (2019) - [i7]Sidhanth Mohanty, Ryan O'Donnell, Pedro Paredes:
Explicit near-Ramanujan graphs of every degree. CoRR abs/1909.06988 (2019) - [i6]Sidhanth Mohanty, Prasad Raghavendra, Jeff Xu:
Lifting Sum-of-Squares Lower Bounds: Degree-2 to Degree-4. CoRR abs/1911.01411 (2019) - [i5]Jess Banks, Sidhanth Mohanty, Prasad Raghavendra:
Local Statistics, Semidefinite Programming, and Community Detection. CoRR abs/1911.01960 (2019) - [i4]Shafi Goldwasser, Ofer Grossman, Sidhanth Mohanty, David P. Woodruff:
Pseudo-deterministic Streaming. CoRR abs/1911.11368 (2019) - [i3]Shafi Goldwasser, Ofer Grossman, Sidhanth Mohanty, David P. Woodruff:
Pseudo-deterministic Streaming. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [c2]Aditya Krishnan, Sidhanth Mohanty, David P. Woodruff:
On Sketching the q to p Norms. APPROX-RANDOM 2018: 15:1-15:20 - [c1]Ofer Grossman, Bernhard Haeupler, Sidhanth Mohanty:
Algorithms for Noisy Broadcast with Erasures. ICALP 2018: 153:1-153:12 - [i2]Aditya Krishnan, Sidhanth Mohanty, David P. Woodruff:
On Sketching the q to p norms. CoRR abs/1806.06429 (2018) - [i1]Ofer Grossman, Bernhard Haeupler, Sidhanth Mohanty:
Algorithms for Noisy Broadcast under Erasures. CoRR abs/1808.00838 (2018)
Coauthor Index
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