Expertini Research Research

Browse Research Papers

154,207+ open-access research outputs.

✕ Clear
🔍 mads dam
Showing 154207 results for "mads dam"
AI & Data Science Preprint PDF DOI

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Keming Wu, Zuhao Yang, Kaichen Zhang, Shizun Wang, Haowei Zhu, Sicong Leng, Zhongyu Yang, Qijie Wang, Sudong Wang, Ziting Wang, Zili Wang, Hui Zhang, Haonan Wang, Hang Zhou, Yifan Pu, Xingxuan Li, Fangneng Zhan, Bo Li, Lidong Bing, Yuxin Song, Ziwei Liu, Wenhu Chen, Jingdong Wang, Xinchao Wang, Xiaojuan Qi, Shijian Lu, Bin Wang · 2026

Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, …

Read Paper →
Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni · 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper …

Read Paper →
AI & Data Science Preprint PDF DOI

Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026

Klaus Mosegaard, Andrew Curtis · 2026

In a recent preprint (Mosegaard and Curtis, 2024, arXiv:2411.13570v2) we analyzed the consequences of ignoring the well-known inconsistency of classical conditional probability densities. We explained…

Read Paper →
Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia · 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and …

Read Paper →
Physics Preprint PDF DOI

On mass inflation and thin shells in quasi-topological gravity

Francesco Di Filippo, David Kubiznak, Aravindhan Srinivasan · 2026

We study the null junction conditions in (re-summed) quasi-topological gravity theories, showing that no null thin shells exist within the realms of standard distributional theory for the pure gravity…

Read Paper →
AI & Data Science Preprint PDF DOI

Differentiable latent structure discovery for interpretable forecasting in clinical time series

Ivan Lerner, Jean Feydy, Alexandre Kalimouttou, Anita Burgun, Francis Bach · 2026

Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice interpret…

Read Paper →
Physics Preprint PDF DOI

Probing mass inflation in polymerized vacuum regular black holes via colliding null shells

Hongguang Liu, Ioannis Soranidis · 2026

We derive a class of inner-extremal regular black hole solutions characterized by a degenerate inner horizon. These geometries arise as polymerized vacuum configurations inspired by loop quantum gravi…

Read Paper →
AI & Data Science Preprint PDF DOI

In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks

Simon Dennis, Michael Diamond, Rivaan Patil, Kevin Shabahang, Hao Guo · 2026

Agent orchestration frameworks -- LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, and others -- place an external orchestrator above the LLM, tracking state and injecting routing instructions at eve…

Read Paper →
Physics Preprint PDF DOI

Linear Dependence of Electron-Decay Maximum Energy on the Mass Number A Along Isotopic Chains For Z<47

Tolga Yarman, Nimet Zaim, Alexander Kholmetskii, Ozan Yarman, Faruk Aga Yarman · 2026

We investigate the systematics of the maximum Electron-decay energy E as a function of the mass number A along isotopic chains with a fixed proton number across Z<47. By making use of the available cu…

Read Paper →
Mathematics Preprint PDF DOI

Two remarks on transcendental shift-like maps on $\mathbb{C}^N$

Ramanpreet Kaur · 2026

In \cite{Bedford}, the dynamics of a particular polynomial diffeomorphism of $\mathbb{C}^N$, called a polynomial shift-like map of type $\nu$, has been studied as a higher dimensional analog of H\'eno…

Read Paper →
Engineering Preprint PDF DOI

Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps

Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi, Holger Voos, Jose Luis Sanchez-Lopez · 2026

Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarchy of semantic entiti…

Read Paper →
Computer Science Preprint PDF DOI

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen · 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and present…

Read Paper →
Engineering Preprint PDF DOI

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control

Yanghao Zhou, Jingyu Ma, Yibo Peng, Zhenguo Sun, Yu Bai, Borje F. Karlsson · 2026

Humanoid control systems have made significant progress in recent years, yet modeling fluent interaction-rich behavior between a robot, its surrounding environment, and task-relevant objects remains a…

Read Paper →
AI & Data Science Preprint PDF DOI

ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning

Chengcao Yang, Jun Chen · 2026

We propose a paradigm shift from learning to answer to learning to question: can a language model generate verifiable problems, solve them, and turn the resulting feedback into self-improvement withou…

Read Paper →
AI & Data Science Preprint PDF DOI

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

Wei Li, Haisheng Li, Weijie Li, Jiandong Wang, Kaichen Ma, Luming Yang · 2026

With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However, pra…

Read Paper →
Mathematics Preprint PDF DOI

A Systematic Review of Recent Advancements in PINN Augmented Deep Learning and Mathematical Modeling for Efficient Portfolio Management

Bahadur Yadav, Sanjay Kumar Mohanty · 2026

In finance, portfolio management is a traditional yet difficult problem that has drawn attention from practitioners and researchers for many years. However, there are still difficult technological pro…

Read Paper →
Mathematics Preprint PDF DOI

Polynomial Maps with Constants on Matrix Algebra

Prachi Saini, Anupam Singh · 2026

Let $\mathcal A$ be an $\mathbb F$-algebra and $\omega \in \mathcal A\langle x_1, \ldots, x_m \rangle$ which defines a map $\mathcal A^m \rightarrow \mathcal A$ by evaluation, called a polynomial map …

Read Paper →
Physics Preprint PDF DOI

Low mass scalars at $e^+e-$ colliders

Tania Robens · 2026

I briefly discuss the search for low mass scalars at Higgs factories as well as available models that render such scalars feasible, where I focus on new developments since the review presented in arXi…

Read Paper →
Computer Science Preprint PDF DOI

I'm Fine, But My Voice Isn't: Cross-Modal Affective Dissonance Detection for Reflective Journaling

Sumin Lee · 2026

Digital journaling creates an authenticity gap: users consciously translate raw emotions into text, often sanitizing narratives even in private writing. We formalize this as Cross-Modal Affective Diss…

Read Paper →
AI & Data Science Preprint PDF DOI

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark

Shuo Wang, Jilin Mei, Wenfei Guan, Shuai Wang, Yan Xing, Chen Min, Yu Hu · 2026

Off-road nighttime autonomous driving suffers from unreliable visible-light perception, making infrared modality crucial for accurate freespace detection. However, progress remains limited due to the …

Read Paper →
Page 1 of 7711 Next →