Summary of An Attempt to Generate New Bridge Types From Latent Space Of Energy-based Model, by Hongjun Zhang
An attempt to generate new bridge types from latent space of energy-based modelby Hongjun ZhangFirst…
Summary of Is K-fold Cross Validation the Best Model Selection Method For Machine Learning?, by Juan M Gorriz et al.
Is K-fold cross validation the best model selection method for Machine Learning?by Juan M Gorriz,…
Summary of Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors, by Yidou Weng et al.
Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priorsby Yidou Weng, Finale Doshi-VelezFirst…
Summary of Precision Mars Entry Navigation with Atmospheric Density Adaptation Via Neural Networks, by Felipe Giraldo-grueso et al.
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networksby Felipe Giraldo-Grueso, Andrey A.…
Summary of Generating Likely Counterfactuals Using Sum-product Networks, by Jiri Nemecek et al.
Generating Likely Counterfactuals Using Sum-Product Networksby Jiri Nemecek, Tomas Pevny, Jakub MarecekFirst submitted to arxiv…
Summary of Is Temperature Sample Efficient For Softmax Gaussian Mixture Of Experts?, by Huy Nguyen et al.
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?by Huy Nguyen, Pedram Akbarian, Nhat…
Summary of Enhancing Global Maritime Traffic Network Forecasting with Gravity-inspired Deep Learning Models, by Ruixin Song et al.
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Modelsby Ruixin Song, Gabriel Spadon,…
Summary of Bayesian Identification Of Nonseparable Hamiltonians with Multiplicative Noise Using Deep Learning and Reduced-order Modeling, by Nicholas Galioto et al.
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modelingby Nicholas…
Summary of Projected Belief Networks with Discriminative Alignment For Acoustic Event Classification: Rivaling State Of the Art Cnns, by Paul M. Baggenstoss et al.
Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art…
Summary of Cascading Reinforcement Learning, by Yihan Du et al.
Cascading Reinforcement Learningby Yihan Du, R. Srikant, Wei ChenFirst submitted to arxiv on: 17 Jan…