Summary of Unveiling the Dynamics Of Information Interplay in Supervised Learning, by Kun Song et al.
Unveiling the Dynamics of Information Interplay in Supervised Learningby Kun Song, Zhiquan Tan, Bochao Zou,…
Summary of Theoretical Guarantees For Variational Inference with Fixed-variance Mixture Of Gaussians, by Tom Huix et al.
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussiansby Tom Huix, Anna Korba, Alain…
Summary of Stemo: Early Spatio-temporal Forecasting with Multi-objective Reinforcement Learning, by Wei Shao et al.
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learningby Wei Shao, Yufan Kang, Ziyan Peng, Xiao…
Summary of Road Network Representation Learning with the Third Law Of Geography, by Haicang Zhou et al.
Road Network Representation Learning with the Third Law of Geographyby Haicang Zhou, Weiming Huang, Yile…
Summary of Shaping History: Advanced Machine Learning Techniques For the Analysis and Dating Of Cuneiform Tablets Over Three Millennia, by Danielle Kapon et al.
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over…
Summary of Linear Opinion Pooling For Uncertainty Quantification on Graphs, by Clemens Damke et al.
Linear Opinion Pooling for Uncertainty Quantification on Graphsby Clemens Damke, Eyke HüllermeierFirst submitted to arxiv…
Summary of Slicing Mutual Information Generalization Bounds For Neural Networks, by Kimia Nadjahi et al.
Slicing Mutual Information Generalization Bounds for Neural Networksby Kimia Nadjahi, Kristjan Greenewald, Rickard Brüel Gabrielsson,…
Summary of Energy-based Epistemic Uncertainty For Graph Neural Networks, by Dominik Fuchsgruber et al.
Energy-based Epistemic Uncertainty for Graph Neural Networksby Dominik Fuchsgruber, Tom Wollschläger, Stephan GünnemannFirst submitted to…
Summary of Multivector Neurons: Better and Faster O(n)-equivariant Clifford Graph Neural Networks, by Cong Liu et al.
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networksby Cong Liu, David Ruhe, Patrick…
Summary of Leveraging Spd Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models For Structural Health Monitoring, by Azadeh Alavi et al.
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoringby…