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🔍 mohit kumar 📂 Computer Science
Showing 157 results for "mohit kumar" in Computer Science
Computer Science Preprint PDF DOI

An Unconditional Barrier for Proving Multilinear Algebraic Branching Program Lower Bounds

Deepanshu Kush · 2026

Since the breakthrough superpolynomial multilinear formula lower bounds of Raz (Theory of Computing 2006), proving such lower bounds against multilinear algebraic branching programs (mABPs) has been a…

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Computer Science Preprint PDF DOI

Near-Optimal Bounds for Parameterized Euclidean k-means

Vincent Cohen-Addad, Karthik C. S., David Saulpic, Chris Schwiegelshohn · 2026

The $k$-means problem is a classic objective for modeling clustering in a metric space. Given a set of points in a metric space, the goal is to find $k$ representative points so as to minimize the sum…

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Computer Science Preprint PDF DOI

When Relaxation Does Not Help: RLDCs with Small Soundness Yield LDCs

Kuan Cheng, Xin Li, Songtao Mao · 2026

Locally decodable codes (LDCs) are error correction codes that allow recovery of any single message symbol by probing only a small number of positions from the (possibly corrupted) codeword. Relaxed l…

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Computer Science Preprint PDF DOI

Two NP-hard Extensions of the Spearman Footrule even for a Small Constant Number of Voters

Martin Durand · 2026

The Spearman footrule is a voting rule that takes as input voter preferences expressed as rankings. It outputs a ranking that minimizes the sum of the absolute differences between the position of each…

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Computer Science Preprint PDF DOI

One Color Makes All the Difference in the Tractability of Partial Coloring in Semi-Streaming

Avinandan Das · 2026

This paper investigates the semi-streaming complexity of \textit{$k$-partial coloring}, a generalization of proper graph coloring. For $k \geq 1$, a $k$-partial coloring requires that each vertex $v$ …

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Computer Science Preprint PDF DOI

QEIL v2: Heterogeneous Computing for Edge Intelligence via Roofline-Derived Pareto-Optimal Energy Modeling and Multi-Objective Orchestration

Satyam Kumar, Saurabh Jha · 2026

Deploying large language models (LLMs) on heterogeneous edge devices demands frameworks that jointly optimize energy efficiency, inference quality, and reliability. Our prior QEIL v1 (Kumar & Jha, 202…

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Computer Science Preprint PDF DOI

Progress on the Courtade-Kumar Conjecture: Optimal High-Noise Entropy Bounds and Generalized Coordinate-wise Mutual Information

Adel Javanmard, David P. Woodruff · 2026

The Courtade-Kumar conjecture posits that dictatorship functions maximize the mutual information between the function's output and a noisy version of its input over the Boolean hypercube. We present t…

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Computer Science Preprint PDF DOI

From No-Regret to Strategically Robust Learning in Repeated Auctions

Junyao Zhao · 2026

In Bayesian single-item auctions, a monotone bidding strategy--one that prescribes a higher bid for a higher value type--can be equivalently represented as a partition of the quantile space into conse…

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Fast list recovery of univariate multiplicity and folded Reed-Solomon codes

Rohan Goyal, Prahladh Harsha, Mrinal Kumar, Ashutosh Shankar · 2025

A recent work of Goyal, Harsha, Kumar and Shankar gave nearly linear time algorithms for the list decoding of Folded Reed-Solomon codes (FRS) and univariate multiplicity codes up to list decoding capa…

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Computer Science Preprint PDF DOI

Computing the Elementary Symmetric Polynomials in Positive Characteristics

Ian Orzel · 2025

We first extend the results of Chatterjee,Kumar,Shi,Volk(Computational Complexity 2022) by showing that the degree $d$ elementary symmetric polynomials in $n$ variables have formula lower bounds of $\…

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Computer Science Preprint PDF DOI

A Simple PTAS for Weighted $k$-means and Sensor Coverage

Akash Pareek, Supratim Shit · 2025

Clustering is a fundamental technique in data analysis, with the $k$-means being one of the widely studied objectives due to its simplicity and broad applicability. In many practical scenarios, data p…

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Challenging Disability and Interaction Norms in XR: Cooling Down the Empathy Machine in Waiting for Hands

Yesica Duarte, Puneet Jain · 2025

Virtual Reality (VR) is often described as the "ultimate empathy machine," framing disability as an experience to be simulated through such technologies, which can reduce disability to a spectacle of …

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Improved bicriteria approximation for $k$-edge-connectivity

Zeev Nutov · 2025

In the $k$-Edge Connected Spanning Subgraph ($k$-ECSS) problem we are given a (multi-)graph $G=(V,E)$ with edge costs and an integer $k$, and seek a min-cost $k$-edge-connected spanning subgraph of $G…

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Computer Science Preprint PDF DOI

Constant-depth circuits for polynomial GCD over any characteristic

Somnath Bhattacharjee, Mrinal Kumar, Shanthanu Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf · 2025

We show that the GCD of two univariate polynomials can be computed by (piece-wise) algebraic circuits of constant depth and polynomial size over any sufficiently large field, regardless of the charact…

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Computer Science Preprint PDF DOI

Closure under factorization from a result of Furstenberg

Somnath Bhattacharjee, Mrinal Kumar, Shanthanu S. Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf · 2025

We show that algebraic formulas and constant-depth circuits are closed under taking factors. In other words, we show that if a multivariate polynomial over a field of characteristic zero has a small c…

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Tight simulation of a distribution using conditional samples

Tomer Adar · 2025

We present an algorithm for simulating a distribution using prefix conditional samples (Adar, Fischer and Levi, 2024), as well as ``prefix-compatible'' conditional models such as the interval model (C…

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Dividing Conflicting Items Fairly

Ayumi Igarashi, Pasin Manurangsi, Hirotaka Yoneda · 2025

We study the allocation of indivisible goods under conflicting constraints, represented by a graph. In this framework, vertices correspond to goods and edges correspond to conflicts between a pair of …

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Leakage-Resilient Extractors against Number-on-Forehead Protocols

Eshan Chattopadhyay, Jesse Goodman · 2025

Given a sequence of $N$ independent sources $\mathbf{X}_1,\mathbf{X}_2,\dots,\mathbf{X}_N\sim\{0,1\}^n$, how many of them must be good (i.e., contain some min-entropy) in order to extract a uniformly …

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Breaking a Long-Standing Barrier: 2-$\varepsilon$ Approximation for Steiner Forest

Ali Ahmadi, Iman Gholami, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Mohammad Mahdavi · 2025

The Steiner Forest problem, also known as the Generalized Steiner Tree problem, is a fundamental optimization problem on edge-weighted graphs where, given a set of vertex pairs, the goal is to select …

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Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database

Kushagra Parashar, Ajay Dev, Aditya Kumar, Darpan Khatri · 2025

This paper presents a novel AI-powered framework designed to streamline database management and query optimization for PostgreSQL systems. Structured in three phases: Natural Language to SQL Translati…

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