Summary of Sptte: a Spatiotemporal Probabilistic Framework For Travel Time Estimation, by Chen Xu et al.
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimationby Chen Xu, Qiang Wang, Lijun SunFirst…
Summary of Streamlining Prediction in Bayesian Deep Learning, by Rui Li et al.
Streamlining Prediction in Bayesian Deep Learningby Rui Li, Marcus Klasson, Arno Solin, Martin TrappFirst submitted…
Summary of Improved Implicit Diffusion Model with Knowledge Distillation to Estimate the Spatial Distribution Density Of Carbon Stock in Remote Sensing Imagery, by Zhenyu Yu
Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon…
Summary of Privacy-preserving Federated Unsupervised Domain Adaptation For Regression on Small-scale and High-dimensional Biological Data, by Cem Ata Baykara et al.
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Databy Cem Ata…
Summary of Effective Non-random Extreme Learning Machine, by Daniela De Canditiis and Fabiano Veglianti
Effective Non-Random Extreme Learning Machineby Daniela De Canditiis, Fabiano VegliantiFirst submitted to arxiv on: 25…
Summary of Evaluating Rank-n-contrast: Continuous and Robust Representations For Regression, by Six Valentin et al.
Evaluating Rank-N-Contrast: Continuous and Robust Representations for Regressionby Six Valentin, Chidiac Alexandre, Worlikar ArkinFirst submitted…
Summary of Ldacp: Long-delayed Ad Conversions Prediction Model For Bidding Strategy, by Peng Cui (1) et al.
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategyby Peng Cui, Yiming Yang, Fusheng Jin,…
Summary of Broad Critic Deep Actor Reinforcement Learning For Continuous Control, by Shiron Thalagala et al.
Broad Critic Deep Actor Reinforcement Learning for Continuous Controlby Shiron Thalagala, Pak Kin Wong, Xiaozheng…
Summary of Enhancing Symbolic Regression and Universal Physics-informed Neural Networks with Dimensional Analysis, by Lena Podina et al.
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysisby Lena Podina, Diba Darooneh,…
Summary of Quantile Deep Learning Models For Multi-step Ahead Time Series Prediction, by Jimmy Cheung et al.
Quantile deep learning models for multi-step ahead time series predictionby Jimmy Cheung, Smruthi Rangarajan, Amelia…