AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

3 papers

PreprintComputer Methods in Applied Mechanics and Engineering1995

Multiscale phenomena: Green's functions, the Dirichlet-to-Neumann formulation, subgrid scale models, bubbles and the origins of stabilized methods

Thomas J.R. Hughes

Develops a unified variational framework for multiscale phenomena, showing stabilized methods and bubble functions are approximate subgrid scale models and deriving an analytical formula for the intrinsic time scale τ.

1.9kNov 1, 1995

Preprint2026

PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?

Zongyi Chen, Yu Liang, Jie Lin, et al.

PathVU is a vision-anchored benchmark for fine-grained multiscale visual understanding in pathology, with 14 VQA tasks, 61,673 images, and 308,070 samples, revealing substantial limitations in current MLLMs.

0Jul 30, 2026Large Language ModelsMultimodal

arXiv

ConferenceIEEE Transactions on Pattern Analysis and Machine Intelligence2012

Learning Hierarchical Features for Scene Labeling

Clément Farabet, Camille Couprie, Laurent Najman, et al.

Proposes a multiscale convolutional network trained from raw pixels for dense scene labeling, achieving record accuracy and real-time performance.

2.8kOct 24, 2012