Summary of Xpertai: Uncovering Regression Model Strategies For Sub-manifolds, by Simon Letzgus et al.
XpertAI: uncovering regression model strategies for sub-manifoldsby Simon Letzgus, Klaus-Robert Müller, Grégoire MontavonFirst submitted to…
Summary of Federated Learning Of Socially Appropriate Agent Behaviours in Simulated Home Environments, by Saksham Checker and Nikhil Churamani and Hatice Gunes
Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environmentsby Saksham Checker, Nikhil Churamani,…
Summary of Adaptive Bounding Box Uncertainties Via Two-step Conformal Prediction, by Alexander Timans et al.
Adaptive Bounding Box Uncertainties via Two-Step Conformal Predictionby Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric…
Summary of Explainable Learning with Gaussian Processes, by Kurt Butler et al.
Explainable Learning with Gaussian Processesby Kurt Butler, Guanchao Feng, Petar M. DjuricFirst submitted to arxiv…
Summary of Advancing Graph Neural Networks with Hl-hgat: a Hodge-laplacian and Attention Mechanism Approach For Heterogeneous Graph-structured Data, by Jinghan Huang et al.
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured…
Summary of Constructing Variables Using Classifiers As An Aid to Regression: An Empirical Assessment, by Colin Troisemaine et al.
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessmentby Colin Troisemaine, Vincent…
Summary of Towards Robust Out-of-distribution Generalization Bounds Via Sharpness, by Yingtian Zou et al.
Towards Robust Out-of-Distribution Generalization Bounds via Sharpnessby Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu,…
Summary of Grafting: Making Random Forests Consistent, by Nicholas Waltz
Grafting: Making Random Forests Consistentby Nicholas WaltzFirst submitted to arxiv on: 9 Mar 2024CategoriesMain: Machine…
Summary of Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks, by Hristo Papazov et al.
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networksby Hristo Papazov, Scott Pesme,…
Summary of Computational-statistical Gaps in Gaussian Single-index Models, by Alex Damian et al.
Computational-Statistical Gaps in Gaussian Single-Index Modelsby Alex Damian, Loucas Pillaud-Vivien, Jason D. Lee, Joan BrunaFirst…