Summary of Proximal Ranking Policy Optimization For Practical Safety in Counterfactual Learning to Rank, by Shashank Gupta et al.
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rankby Shashank Gupta, Harrie…
Summary of Dynamic Fraud Detection: Integrating Reinforcement Learning Into Graph Neural Networks, by Yuxin Dong et al.
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networksby Yuxin Dong, Jianhua Yao, Jiajing…
Summary of Estimating Wage Disparities Using Foundation Models, by Keyon Vafa et al.
Estimating Wage Disparities Using Foundation Modelsby Keyon Vafa, Susan Athey, David M. BleiFirst submitted to…
Summary of Grin: Zero-shot Metric Depth with Pixel-level Diffusion, by Vitor Guizilini et al.
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusionby Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares AmbrusFirst…
Summary of Multi-step Embed to Control: a Novel Deep Learning-based Approach For Surrogate Modelling in Reservoir Simulation, by Jungang Chen et al.
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulationby…
Summary of Fault Analysis and Predictive Maintenance Of Induction Motor Using Machine Learning, by Kavana Venkatesh et al.
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learningby Kavana Venkatesh, Neethi MFirst…
Summary of Generalizability Of Graph Neural Network Force Fields For Predicting Solid-state Properties, by Shaswat Mohanty et al.
Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Propertiesby Shaswat Mohanty, Yifan Wang,…
Summary of Learning Large Softmax Mixtures with Warm Start Em, by Xin Bing and Florentina Bunea and Jonathan Niles-weed and Marten Wegkamp
Learning large softmax mixtures with warm start EMby Xin Bing, Florentina Bunea, Jonathan Niles-Weed, Marten…
Summary of Mining Of Switching Sparse Networks For Missing Value Imputation in Multivariate Time Series, by Kohei Obata et al.
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Seriesby Kohei Obata,…
Summary of Mobility-gcn: a Human Mobility-based Graph Convolutional Network For Tracking and Analyzing the Spatial Dynamics Of the Synthetic Opioid Crisis in the Usa, 2013-2020, by Zhiyue Xia et al.
Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of…