Summary of Analysis Of Corrected Graph Convolutions, by Robert Wang et al.
Analysis of Corrected Graph Convolutionsby Robert Wang, Aseem Baranwal, Kimon FountoulakisFirst submitted to arxiv on:…
Summary of Autolcz: Towards Automatized Local Climate Zone Mapping From Rule-based Remote Sensing, by Chenying Liu and Hunsoo Song and Anamika Shreevastava and Conrad M Albrecht
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensingby Chenying Liu, Hunsoo Song,…
Summary of Thermodynamic Natural Gradient Descent, by Kaelan Donatella et al.
Thermodynamic Natural Gradient Descentby Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin Crooks, Patrick…
Summary of Marrying Causal Representation Learning with Dynamical Systems For Science, by Dingling Yao et al.
Marrying Causal Representation Learning with Dynamical Systems for Scienceby Dingling Yao, Caroline Muller, Francesco LocatelloFirst…
Summary of Login: a Large Language Model Consulted Graph Neural Network Training Framework, by Yiran Qiao et al.
LOGIN: A Large Language Model Consulted Graph Neural Network Training Frameworkby Yiran Qiao, Xiang Ao,…
Summary of Dct-based Decorrelated Attention For Vision Transformers, by Hongyi Pan et al.
DCT-Based Decorrelated Attention for Vision Transformersby Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet…
Summary of Node-time Conditional Prompt Learning in Dynamic Graphs, by Xingtong Yu et al.
Node-Time Conditional Prompt Learning In Dynamic Graphsby Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan FangFirst…
Summary of Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing, by Jose M. Alvarez et al.
Mutatis Mutandis: Revisiting the Comparator in Discrimination Testingby Jose M. Alvarez, Salvatore RuggieriFirst submitted to…
Summary of Counterfactual Gradients-based Quantification Of Prediction Trust in Neural Networks, by Mohit Prabhushankar and Ghassan Alregib
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networksby Mohit Prabhushankar, Ghassan AlRegibFirst submitted to…
Summary of Fine-tuned In-context Learning Transformers Are Excellent Tabular Data Classifiers, by Felix Den Breejen et al.
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiersby Felix den Breejen, Sangmin Bae, Stephen…