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DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data ... Abstract: Approximating high-dimensional functionals with low-dimensional models is a central issue of machine learning, image ... Dan Xu; Elisa Ricci; Wanli Ouyang; Xiaogang Wang; Nicu Sebe This paper addresses the problem of depth estimation from a ... Large Language Models (LLMs) like Claude and ChatGPT are trained to generalize across broad knowledge bases. However ... Paper: blogpost: Mohammad Pezeshki, Amartya Mitra, ...
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Stéphane Mallat - Multiscale Models for Image Classification and Physics with Deep Networks
Learning Deep Multi-Modal Architectures
DDPS | Machine Learning and Multi-scale Modeling
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth | Spotlight 1-1B
Deep Technology Models: A New Class of AI Systems Designed to Solve Manufacturing Problems at Scale
Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation
[ICML 2022] Multi-scale Feature Learning Dynamics: Insights for Double Descent
Multiscale deep-learning for elastic woven composites
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Last Updated: June 22, 2026
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