Expertini Research Research

Browse Research Papers

10,390+ open-access research outputs.

✕ Clear
🔍 daniel simpson 📄 Preprint
Showing 10390 results for "daniel simpson" · Preprint
Mathematics Preprint PDF DOI

How large part of a graph can be covered by the neighborhoods of k vertices?

Janos Pach · 2026

Let $k\ge 2$ be fixed integer, $0<c<1$ a constant. Consider a graph $G$ with $n$ vertices and average degree $cn$. We answer a question of Simon Griffiths by showing that $G$ has $k$ vertices such tha…

Read Paper →
AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu · 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remain…

Read Paper →
Physics Preprint PDF DOI

Demonstration of Exponential Quantum Speedup with Constant-Depth Compiled Circuits for Simon's Problem

Phattharaporn Singkanipa, Victor Kasatkin, Daniel A. Lidar · 2026

We demonstrate exponential quantum speedup for a restricted-Hamming-weight version of Simon's problem on present-day superconducting quantum processors by introducing a hardware-aware compilation stra…

Read Paper →
Computer Science Preprint PDF DOI

The Synthetic Social Graph: Emergent Behavior in AI Agent Communities

Sungguk Cha, DongWook Kim · 2026

Large language model (LLM) agents are increasingly deployed in social settings, yet little is known about how they interact in open-ended environments. We present the first comprehensive sociological …

Read Paper →
Economics & Finance Preprint PDF DOI

Bootstrap Inference in Nonlinear Panel Data Models with Interactive Fixed Effects

Haoyuan Xu, Wei Miao, Geert Dhaene, Jad Beyhum · 2026

The maximum likelihood estimator in nonlinear panel data models with interactive fixed effects is biased. Several bias correction methods, such as analytical and jackknife approaches, have been propos…

Read Paper →
AI & Data Science Preprint PDF DOI

Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms

Victoria Peterson, Akshat Srivastava, Raghav Prabhakar · 2026

We present a Spatially Embedded Evolutionary Algorithm where robot individuals exist in a physically simulated 2D environment, must navigate to encounter potential mates, and compete for survival unde…

Read Paper →
AI & Data Science Preprint PDF DOI

Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid su…

Read Paper →
AI & Data Science Preprint PDF DOI

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in enginee…

Read Paper →
Mathematics Preprint PDF DOI

Recovering Product BMO from Schatten Hankel operators

Konstantinos Bampouras, Karl-Mikael Perfekt · 2026

We prove that if a small Hankel operator on the product Hardy space belongs to some Schatten class $S^p$, $p < \infty$, then it has a symbol in product BMO. In other words, the conclusion of Nehari's …

Read Paper →
Computer Science Preprint PDF DOI

Explaining the "Why": A Unified Framework for the Additive Attribution of Changes in Arbitrary Measures

Changsheng Zhou, Dajun Chen, Zhitao Shen, wei jiang, Yong Li, Peng Di · 2026

Explaining why aggregated measures change is a critical challenge in data analytics that existing systems struggle to address. While current attribution methods exist, they lack a unified solution tha…

Read Paper →
Computer Science Preprint PDF DOI

Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

Bipin Thapa, Daniele Alfonso, Lorenzo Bini, Licio Mapelli, Kaspar Schleiser, Romain Fouquet, Emmanuel Baccelli · 2026

As Rust gains traction for developing safer systems software, a reality check for the microcontroller hardware segment becomes necessary. How ready is the Rust ecosystem for this segment? Can Rust com…

Read Paper →
AI & Data Science Preprint PDF DOI

The Optimal Sample Complexity of Multiclass and List Learning

Chirag Pabbaraju · 2026

While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass classification has remained open.…

Read Paper →
Physics Preprint PDF DOI

Thermal instability in coronal loops: linking eigenvalue spectra to time-dependent evolution

Adrian Kelly, Rony Keppens, Jordi De Jonghe · 2026

Cool, dense condensations such as coronal rain and prominences suggest that coronal plasma can undergo runaway radiative cooling. Connecting this behaviour to linear thermal modes requires us to fully…

Read Paper →
Mathematics Preprint PDF DOI

Quasi-Monte Carlo with a Hankel random digital net

Takashi Goda, Yang Liu, Raul Tempone · 2026

This paper proposes a new randomized design of digital nets in which the generating matrices are chosen to be random Hankel matrices. Compared with previous randomized designs of digital nets, this ap…

Read Paper →
Physics Preprint PDF DOI

Renormalization-group improved Schwarzschild black hole: shadow, ringdown, and strong cosmic censorship

Ahmad Al-Badawi, Faizuddin Ahmed, Izzet Sakall{i} · 2026

We study a renormalization-group (RG) improved Schwarzschild-like black hole (BH) whose lapse interpolates between a classical Schwarzschild exterior and a quantum-smoothed interior governed by a cuto…

Read Paper →
Computer Science Preprint PDF DOI

The Vehicle May Be Sick: Denial of Diagnostic Services by Exploiting the CAN Transport Protocol

Seungjin Baek, Seonghoon Jeong, Huy Kang Kim · 2026

Vehicle diagnostics has become essential for detecting in-vehicle errors and ensuring safety. While the Unified Diagnostic Services (UDS) protocol is widely adopted for diagnostic operations, it relie…

Read Paper →
Computer Science Preprint PDF DOI

Semantic Denial of Service in LLM-controlled robots

Jonathan Steinberg, Oren Gal · 2026

Safety-oriented instruction-following is supposed to keep LLM-controlled robots safe. We show it also creates an availability attack surface. By injecting short safety-plausible phrases (1-5 tokens) i…

Read Paper →
Mathematics Preprint PDF DOI

On the Third Hankel Determinant for Inverse Coefficients of Starlike Functions: A Bernstein Polynomial Approach

Vasudevarao Allu, Shobhit Kumar · 2026

Let $\mathcal{A}$ denote the class of normalized analytic functions $f$ in the open unit disk defined as $ \mathbb{D}:=\{z\in\mathbb{C}:|z|<1\} $ with $f(0)=0$ and $f'(0)=1$. A function $f\in\…

Read Paper →
AI & Data Science Preprint PDF DOI

Discovering Agentic Safety Specifications from 1-Bit Danger Signals

Victor Gallego · 2026

Can large language model agents discover hidden safety objectives through experience alone? We introduce EPO-Safe (Experiential Prompt Optimization for Safe Agents), a framework where an LLM iterative…

Read Paper →
Mathematics Preprint PDF DOI

Mesh-Intrinsic GFEM: High-Order Smoothness on $C^0$ Unstructured Meshes

Rong Tian · 2026

High-order partial differential equations (PDEs) require derivative regularity that standard $C^0$ finite element infrastructures do not directly provide on unstructured meshes. We propose a mesh-intr…

Read Paper →
Page 1 of 520 Next →