Expertini Research Research

Browse Research Papers

93,581+ open-access research outputs.

✕ Clear
🔍 michael elad
Showing 93581 results for "michael elad"
Physics Preprint PDF DOI

Multi-scale calculation of light-induced structural changes in low-angle twisted bilayer WSe$_2$

Rafael R. Del Grande, David A. Strubbe · 2026

Exciton-phonon interactions in transition metal dichalcogenides (TMD) are strong and lead to phenomena such as coherent phonon generation. When stacked and twisted, their properties can be tuned by th…

Read Paper →
AI & Data Science Preprint PDF DOI

Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI

Dorottya Demszky, Edith Bouton, Alison Twiner, Sara Hennessy, Richard Correnti · 2026

Research on classroom interaction has long been divided between large-scale observation and in-depth ethnographic work. We propose a framework mapping this methodological space along three dimensions-…

Read Paper →
Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

Read Paper →
Computer Science Preprint PDF DOI

To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems

Shreya Chappidi, Jatinder Singh · 2026

Responsible AI research typically focuses on examining the use and impacts of deployed AI systems. Yet, there is currently limited visibility into the pre-deployment decisions to pursue building such …

Read Paper →
Mathematics Preprint PDF DOI

On three-dimensional flows of thermo-viscoelastic fluids of Giesekus type

Miroslav Bulicek, Tomas Los, Jakub Woznicki · 2026

Viscoelastic rate-type fluid models constitute a fundamental framework for the mathematical description of complex materials exhibiting coupled elastic and viscous effects, with a wide range of applic…

Read Paper →
AI & Data Science Preprint PDF DOI

The Effects of Visual Priming on Cooperative Behavior in Vision-Language Models

Kenneth J. K. Ong · 2026

As Vision-Language Models (VLMs) become increasingly integrated into decision-making systems, it is essential to understand how visual inputs influence their behavior. This paper investigates the effe…

Read Paper →
AI & Data Science Preprint PDF DOI

Geometry-Calibrated Conformal Abstention for Language Models

Rui Xu, Yi Chen, Sihong Xie, Hui Xiong · 2026

When language models lack relevant knowledge for a given query, they frequently generate plausible responses that can be hallucinations, rather than admitting being agnostic about the answer. Retraini…

Read Paper →
Physics Preprint PDF DOI

Low-cost passive single-shot ultrafast imaging at 685 Gfps

Dilem Eslik, Bahad{i}r Utku Kesgin, Ugur Tegin · 2026

Capturing ultrafast transient phenomena conventionally requires streak cameras or computational imaging based on compressed sensing, which lead to complex and costly systems. In this Letter, we demons…

Read Paper →
Computer Science Preprint PDF DOI

An Empirical Evaluation of Code Smell Detection in Angular Applications

Maykon Nunes, Emanuel Coutinho, Carla Bezerra, Ivan Machado · 2026

Angular is one of the most widely adopted frameworks for developing large-scale, dynamic web applications. As projects increase in scope and complexity, developers face growing challenges in managing …

Read Paper →
Physics Preprint PDF DOI

Some Properties and Uses of the Species Scale

Luis E. Ibanez · 2026

The 'Species Scale' has proved to be an important concept when studying consistent effective actions in Quantum Gravity. This is a short summary of my contribution to the Corfu Summer Institute in Sep…

Read Paper →
AI & Data Science Preprint PDF DOI

Optimized Deferral for Imbalanced Settings

Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong · 2026

Learning algorithms can be significantly improved by routing complex or uncertain inputs to specialized experts, balancing accuracy with computational cost. This approach, known as learning to defer, …

Read Paper →
Engineering Preprint PDF DOI

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation

Jihoon Lee, Seungeun Oh, Jihong Park, Seong-Lyun Kim, Seung-Woo Ko · 2026

Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-centric designs that re…

Read Paper →
Computer Science Preprint PDF DOI

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG

Xihang Wang, Zihan Wang, Chengkai Huang, Cao Liu, Ke Zeng, Quan Z. Sheng, Lina Yao · 2026

Multimodal Retrieval-Augmented Generation (MRAG) is widely adopted for Multimodal Large Language Models (MLLMs) with external evidence to reduce hallucinations. Despite its success, most existing MRAG…

Read Paper →
Mathematics Preprint PDF DOI

Waveform Relaxation for Field/Circuit Coupled DAEs with Generalized Capacitances

Idoia Cortes Garcia, Jonas Pade · 2026

Field/circuit coupling is a common approach when a lumped representation of a certain electrotechnical device is not accurate enough. To exploit existing code and underlying properties of the coupled …

Read Paper →
AI & Data Science Preprint PDF DOI

Robust Nonparametric Testing Approaches for Spatial Regression

Kanghyun Wi, Hyoeun Kim, Tomas Mrkvicka, Jorge Mateu, Jaewoo Park · 2026

Determining significant covariates is a fundamental problem in spatial regression analysis. However, parametric assumptions limit flexibility and can lead to inaccurate inference when misspecified. To…

Read Paper →
Biology & Life Sciences Preprint PDF DOI

Incorporating the underuse problem in the tragedy of the commons

Shota Shibasaki, Wakaba Tateishi, Shuhei Fujii, Ryosuke Nakadai · 2026

The tragedy of the commons has traditionally been framed as a problem of resource overuse driven by self-interested exploitation. In contrast, growing empirical evidence shows that insufficient use or…

Read Paper →
AI & Data Science Preprint PDF DOI

Stable but Wrong: An Inference Limit in Galactic Archaeology

Zhipeng Zhang · 2026

Statistical inference in observational science typically relies on a fundamental assumption: as sample size increases and uncertainties decrease, the inferred results should converge to the true physi…

Read Paper →
Biology & Life Sciences Preprint PDF DOI

Epidemic Extinction in a Continuous SIRS Model with Vaccination

Germano Hartmann Brill, Pablo Enrique Jurado Silvestrin, Sebastian Goncalves · 2026

Epidemics have shaped human history, often with devastating consequences, motivating the development of mathematical models to understand and control their dynamics. Among the many aspects of epidemic…

Read Paper →
AI & Data Science Preprint PDF DOI

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents

Mehmet Iscan · 2026

Large language model (LLM)-based coding agents increasingly rely on external memory to reuse prior debugging experience, repair traces, and repository-local operational knowledge. However, retrieved m…

Read Paper →
Physics Preprint PDF DOI

Training of particle-turbulence sub-grid-scale closures with just particle data

G. Saltar Rivera, L. Villafane, J. B. Freund · 2026

If sufficient training data are available, neural networks are attractive for representing missing physics in simulations, such as sub-grid scales in the coarse-mesh particle-turbulence system we cons…

Read Paper →
Page 1 of 4680 Next →