Summary of Iterated Energy-based Flow Matching For Sampling From Boltzmann Densities, by Dongyeop Woo et al.
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densitiesby Dongyeop Woo, Sungsoo AhnFirst submitted to…
Summary of Artificial Neural Network and Deep Learning: Fundamentals and Theory, by M. M. Hammad
Artificial Neural Network and Deep Learning: Fundamentals and Theoryby M. M. HammadFirst submitted to arxiv…
Summary of Analysis Of Diagnostics (part Ii): Prevalence, Linear Independence, and Unsupervised Learning, by Paul N. Patrone et al.
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learningby Paul N. Patrone, Raquel…
Summary of Optimal Level Set Estimation For Non-parametric Tournament and Crowdsourcing Problems, by Maximilian Graf et al.
Optimal level set estimation for non-parametric tournament and crowdsourcing problemsby Maximilian Graf, Alexandra Carpentier, Nicolas…
Summary of Post-processing Fairness with Minimal Changes, by Federico Di Gennaro et al.
Post-processing fairness with minimal changesby Federico Di Gennaro, Thibault Laugel, Vincent Grari, Xavier Renard, Marcin…
Summary of Assessing Contamination in Large Language Models: Introducing the Logprober Method, by Nicolas Yax and Pierre-yves Oudeyer and Stefano Palminteri
Assessing Contamination in Large Language Models: Introducing the LogProber methodby Nicolas Yax, Pierre-Yves Oudeyer, Stefano…
Summary of Category-theoretical and Topos-theoretical Frameworks in Machine Learning: a Survey, by Yiyang Jia et al.
Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Surveyby Yiyang Jia, Guohong Peng, Zheng Yang,…
Summary of Intope: Off-policy Evaluation in the Presence Of Interference, by Yuqi Bai et al.
IntOPE: Off-Policy Evaluation in the Presence of Interferenceby Yuqi Bai, Ziyu Zhao, Minqin Zhu, Kun…
Summary of On the Good Reliability Of An Interval-based Metric to Validate Prediction Uncertainty For Machine Learning Regression Tasks, by Pascal Pernot
On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning…
Summary of Convergence Of Unadjusted Langevin in High Dimensions: Delocalization Of Bias, by Yifan Chen et al.
Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Biasby Yifan Chen, Xiaoou Cheng, Jonathan…