Summary of Unitnorm: Rethinking Normalization For Transformers in Time Series, by Nan Huang et al.
UnitNorm: Rethinking Normalization for Transformers in Time Seriesby Nan Huang, Christian Kümmerle, Xiang ZhangFirst submitted…
Summary of Knowledge-informed Auto-penetration Testing Based on Reinforcement Learning with Reward Machine, by Yuanliang Li and Hanzheng Dai and Jun Yan
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machineby Yuanliang Li, Hanzheng Dai, Jun…
Summary of Learning Accurate and Interpretable Decision Trees, by Maria-florina Balcan and Dravyansh Sharma
Learning accurate and interpretable decision treesby Maria-Florina Balcan, Dravyansh SharmaFirst submitted to arxiv on: 24…
Summary of Scaling Up the Banded Matrix Factorization Mechanism For Differentially Private Ml, by Ryan Mckenna
Scaling up the Banded Matrix Factorization Mechanism for Differentially Private MLby Ryan McKennaFirst submitted to…
Summary of Sf-dqn: Provable Knowledge Transfer Using Successor Feature For Deep Reinforcement Learning, by Shuai Zhang et al.
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learningby Shuai Zhang, Heshan Devaka…
Summary of Dissecting the Interplay Of Attention Paths in a Statistical Mechanics Theory Of Transformers, by Lorenzo Tiberi et al.
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformersby Lorenzo Tiberi,…
Summary of Clustering Survival Data Using a Mixture Of Non-parametric Experts, by Gabriel Buginga et al.
Clustering Survival Data using a Mixture of Non-parametric Expertsby Gabriel Buginga, Edmundo de Souza e…
Summary of Transformers Represent Belief State Geometry in Their Residual Stream, by Adam S. Shai et al.
Transformers represent belief state geometry in their residual streamby Adam S. Shai, Sarah E. Marzen,…
Summary of A Systematic Bias Of Machine Learning Regression Models and Its Correction: An Application to Imaging-based Brain Age Prediction, by Hwiyoung Lee et al.
A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based…
Summary of Cfgs: Causality Constrained Counterfactual Explanations Using Goal-directed Asp, by Sopam Dasgupta et al.
CFGs: Causality Constrained Counterfactual Explanations using goal-directed ASPby Sopam Dasgupta, Joaquín Arias, Elmer Salazar, Gopal…