activity
20142026
most citedOn Low Discrepancy Samplings in Product Spaces of Motion Groups

5 citations · 8 across the 9 of their papers we have counts for

collaborators

20 papers

cs.IT2026

Two-Sided Product Expanding Codes via Rademacher Matrices

Eshan Chattopadhyay, Noam Ringach, Nicholas Spooner

We give a proof of the existence of two-sided product expanding codes which, unlike the earlier result of Kalachev and Panteleev (FOCS, 2025), does not rely on explicit constructio…

cs.CC2026

Frustration Free Stoquastic Local Hamiltonian with Sub-Constant Gap is in NP

Eshan Chattopadhyay, Oren Renard, Nicholas Spooner

We continue the study of the Stoquastic Local Hamiltonian problem, a physically motivated restriction of the QMA-complete Local Hamiltonian problem (Kitaev, Shen, and Vyalyi, 2002)…

cs.CC2026

Exponential Correlation Bounds for Polynomials

Eshan Chattopadhyay, Pooya Hatami, Chin Ho Lee +3

We prove that the XOR of majorities on disjoint blocks of bits has correlation at most with every Boolean-valued degree- polynomial over an arbit…

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.DS2025

Multipass Linear Sketches for Geometric LP-Type Problems

N. Efe Çekirge, William Gay, David P. Woodruff

LP-type problems such as the Minimum Enclosing Ball (MEB), Linear Support Vector Machine (SVM), Linear Programming (LP), and Semidefinite Programming (SDP) are fundamental combinat…

cs.CC2025

Leakage-Resilient Extractors against Number-on-Forehead Protocols

Eshan Chattopadhyay, Jesse Goodman

Given a sequence of independent sources , how many of them must be good (i.e., contain some min-entropy) in order to…

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.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.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{\…

cs.CC2022

Low-Degree Polynomials Extract from Local Sources

Omar Alrabiah, Eshan Chattopadhyay, Jesse Goodman +2

We continue a line of work on extracting random bits from weak sources that are generated by simple processes. We focus on the model of locally samplable sources, where each bit in…

cs.CC2021

Extractors for Sum of Two Sources

Eshan Chattopadhyay, Jyun-Jie Liao

We consider the problem of extracting randomness from \textit{sumset sources}, a general class of weak sources introduced by Chattopadhyay and Li (STOC, 2016). An -sumset…

cs.CC2020

Fractional Pseudorandom Generators from Any Fourier Level

Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee +2

We prove new results on the polarizing random walk framework introduced in recent works of Chattopadhyay {et al.} [CHHL19,CHLT19] that exploit Fourier tail bounds for classes…

cs.CC2020

Improved Extractors for Small-Space Sources

Eshan Chattopadhyay, Jesse Goodman

We study the problem of extracting random bits from weak sources that are sampled by algorithms with limited memory. This model of small-space sources was introduced by Kamp, Rao,…

cs.CC2020

Optimal Error Pseudodistributions for Read-Once Branching Programs

Eshan Chattopadhyay, Jyun-Jie Liao

In a seminal work, Nisan (Combinatorica'92) constructed a pseudorandom generator for length and width read-once branching programs with seed length $O(\log n\cdot \log(nw)+…

cs.CR2018

Non-Malleable Extractors and Codes for Composition of Tampering, Interleaved Tampering and More

Eshan Chattopadhyay, Xin Li

Non-malleable codes were introduced by Dziembowski, Pietrzak, and Wichs (JACM 2018) as a generalization of standard error correcting codes to handle severe forms of tampering on co…

cs.CR2016

Explicit Non-Malleable Extractors, Multi-Source Extractors and Almost Optimal Privacy Amplification Protocols

Eshan Chattopadhyay, Xin Li

We make progress in the following three problems: 1. Constructing optimal seeded non-malleable extractors; 2. Constructing optimal privacy amplification protocols with an active ad…

cs.CR2015★ 3 cited

Non-Malleable Extractors and Codes, with their Many Tampered Extensions

Eshan Chattopadhyay, Vipul Goyal, Xin Li

Randomness extractors and error correcting codes are fundamental objects in computer science. Recently, there have been several natural generalizations of these objects, in the con…

cs.CG2014★ 5 cited

On Low Discrepancy Samplings in Product Spaces of Motion Groups

Chandrajit Bajaj, Abhishek Bhowmick, Eshan Chattopadhyay +1

Deterministically generating near-uniform point samplings of the motion groups like SO(3), SE(3) and their n-wise products SO(3)^n, SE(3)^n is fundamental to numerous applications…