Summary of A Riemannian Framework For Learning Reduced-order Lagrangian Dynamics, by Katharina Friedl et al.
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamicsby Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim…
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamicsby Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim…
Meta-Learning with Heterogeneous Tasksby Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei LyuFirst submitted to arxiv…
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Interpretable Representation Learning from Videos using Nonlinear Priorsby Marian Longa, João F. HenriquesFirst submitted to…
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Local and Global Graph Modeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognitionby…
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustnessby David Khachaturov, Robert MullinsFirst submitted…
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Aligning CodeLLMs with Direct Preference Optimizationby Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang…
Benchmarking Graph Learning for Drug-Drug Interaction Predictionby Zhenqian Shen, Mingyang Zhou, Yongqi Zhang, Quanming YaoFirst…