activity
20232026
collaborators

12 papers

cs.CC2026

Sumset Structure in Local Computation

Alexander Golovnev, Mohit Gurumukhani

We introduce and study a new model of decision trees that lies at the frontier of provable circuit lower bounds. We study -local decision trees, in which each internal node q…

cs.CC2026

A Resolution of Friedgut's Conjecture on Influential Coalitions

Eshan Chattopadhyay, Mohit Gurumukhani

We prove that, for every constant and every function , there is a coalition of coordinates and a target output …

cs.CC2026

Optimal Depth-Three Circuits for Inner Product

Mohit Gurumukhani, Daniel Kleber, Ramamohan Paturi +2

We show that Inner Product in variables, , can be computed by depth-3 bottom fan-in 2 circuits of size $\mathsf{poly}…

cs.CC2026

Optimal Monotone Depth-Three Circuit Lower Bounds for Majority

Mohit Gurumukhani, Daniel Kleber, Ramamohan Paturi +3

Gurumuhkani et al. (CCC'24) introduced the local enumeration problem as follows: for a natural number and a parameter , given an -variate -CNF with no sat…

cs.CC2025

Improved Bounds for Coin Flipping, Leader Election, and Random Selection

Eshan Chattopadhyay, Mohit Gurumukhani, Noam Ringach +1

Random selection, leader election, and collective coin flipping are fundamental tasks in fault-tolerant distributed computing. We study these problems in the full-information model…

cs.CC2025

Local Enumeration: The Not-All-Equal Case

Mohit Gurumukhani, Ramamohan Paturi, Michael Saks +1

Gurumukhani et al. (CCC'24) proposed the local enumeration problem Enum(k, t) as an approach to break the Super Strong Exponential Time Hypothesis (SSETH): for a natural number …

cs.CC2024

On Extremal Properties of k-CNF: Capturing Threshold Functions

Mohit Gurumukhani, Marvin Künnemann, Ramamohan Paturi

We consider a basic question on the expressiveness of -CNF formulas: How well can -CNF formulas capture threshold functions? Specifically, what is the largest number of assig…

cs.CC2024

Condensing and Extracting Against Online Adversaries

Eshan Chattopadhyay, Mohit Gurumukhani, Noam Ringach +1

We study the tasks of deterministically condensing and extracting from Online Non-Oblivious Symbol Fixing (oNOSF) sources, a natural model of defective randomness where extraction…

cs.CC2024

Two-Sided Lossless Expanders in the Unbalanced Setting

Eshan Chattopadhyay, Mohit Gurumukhani, Noam Ringach +1

We present the first explicit construction of two-sided lossless expanders in the unbalanced setting (bipartite graphs that have polynomially many more nodes on the left than on th…

cs.CC2024

Local Enumeration and Majority Lower Bounds

Mohit Gurumukhani, Ramamohan Paturi, Pavel Pudlák +2

Depth-3 circuit lower bounds and -SAT algorithms are intimately related; the state-of-the-art -circuit lower bound and the -SAT algorithm are based on the same combina…

cs.CC2023

On the Existence of Seedless Condensers: Exploring the Terrain

Eshan Chattopadhyay, Mohit Gurumukhani, Noam Ringach

We prove several new results for seedless condensers in the context of three related classes of sources: Non-Oblivious Symbol Fixing (NOSF) sources, online NOSF (oNOSF) sources [AO…

cs.CC2023

Extractors for Polynomial Sources over

Eshan Chattopadhyay, Jesse Goodman, Mohit Gurumukhani

We explicitly construct the first nontrivial extractors for degree polynomial sources over . Our extractor requires min-entropy $k\geq n - \tildeΩ(\sqrt{\…