Summary of Kl-geodesics Flow Matching with a Novel Sampling Scheme, by Egor Sevriugov et al.
KL-geodesics flow matching with a novel sampling schemeby Egor Sevriugov, Ivan OseledetsFirst submitted to arxiv…
Summary of Fld+: Data-efficient Evaluation Metric For Generative Models, by Pranav Jeevan et al.
FLD+: Data-efficient Evaluation Metric for Generative Modelsby Pranav Jeevan, Neeraj Nixon, Amit SethiFirst submitted to…
Summary of Dimension-independent Rates For Structured Neural Density Estimation, by Robert A. Vandermeulen et al.
Dimension-independent rates for structured neural density estimationby Robert A. Vandermeulen, Wai Ming Tai, Bryon AragamFirst…
Summary of Many Happy Returns: Machine Learning to Support Platelet Issuing and Waste Reduction in Hospital Blood Banks, by Joseph Farrington et al.
Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood…
Summary of Variational Autoencoders For Efficient Simulation-based Inference, by Mayank Nautiyal et al.
Variational Autoencoders for Efficient Simulation-Based Inferenceby Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant SinghFirst submitted…
Summary of Why You Don’t Overfit, and Don’t Need Bayes If You Only Train For One Epoch, by Laurence Aitchison
Why you don’t overfit, and don’t need Bayes if you only train for one epochby…
Summary of Eliminating Ratio Bias For Gradient-based Simulated Parameter Estimation, by Zehao Li and Yijie Peng
Eliminating Ratio Bias for Gradient-based Simulated Parameter Estimationby Zehao Li, Yijie PengFirst submitted to arxiv…
Summary of The Statistical Accuracy Of Neural Posterior and Likelihood Estimation, by David T. Frazier et al.
The Statistical Accuracy of Neural Posterior and Likelihood Estimationby David T. Frazier, Ryan Kelly, Christopher…
Summary of Continuous Bayesian Model Selection For Multivariate Causal Discovery, by Anish Dhir et al.
Continuous Bayesian Model Selection for Multivariate Causal Discoveryby Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben…
Summary of Parameter Inference Via Differentiable Diffusion Bridge Importance Sampling, by Nicklas Boserup et al.
Parameter Inference via Differentiable Diffusion Bridge Importance Samplingby Nicklas Boserup, Gefan Yang, Michael Lind Severinsen,…