Summary of Recent Advances on Machine Learning For Computational Fluid Dynamics: a Survey, by Haixin Wang et al.
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Surveyby Haixin Wang, Yadi Cao,…
Summary of How Disentangled Are Your Classification Uncertainties?, by Ivo Pascal De Jong et al.
How disentangled are your classification uncertainties?by Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-ToroFirst…
Summary of Two-level Deep Domain Decomposition Method, by Victorita Dolean et al.
Two-level deep domain decomposition methodby Victorita Dolean, Serge Gratton, Alexander Heinlein, Valentin MercierFirst submitted to…
Summary of Weight Scope Alignment: a Frustratingly Easy Method For Model Merging, by Yichu Xu et al.
Weight Scope Alignment: A Frustratingly Easy Method for Model Mergingby Yichu Xu, Xin-Chun Li, Le…
Summary of Tackling Data Heterogeneity in Federated Learning Via Loss Decomposition, by Shuang Zeng et al.
Tackling Data Heterogeneity in Federated Learning via Loss Decompositionby Shuang Zeng, Pengxin Guo, Shuai Wang,…
Summary of Quack-tsf: Quantum-classical Kernelized Time Series Forecasting, by Abdallah Aaraba et al.
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecastingby Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad, Jean-Frédéric Laprade, Olivier…
Summary of Extraction Of Research Objectives, Machine Learning Model Names, and Dataset Names From Academic Papers and Analysis Of Their Interrelationships Using Llm and Network Analysis, by S. Nishio et al.
Extraction of Research Objectives, Machine Learning Model Names, and Dataset Names from Academic Papers and…
Summary of When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation For Medical Machine Learning Applications?, by Yanjun Gao et al.
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for…
Summary of Crossing New Frontiers: Knowledge-augmented Large Language Model Prompting For Zero-shot Text-based De Novo Molecule Design, by Sakhinana Sagar Srinivas et al.
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Designby…
Summary of Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness, By Viacheslav Komisarenko and Meelis Kull
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Propernessby Viacheslav Komisarenko, Meelis KullFirst submitted…