Summary of Parametric Augmentation For Time Series Contrastive Learning, by Xu Zheng et al.
Parametric Augmentation for Time Series Contrastive Learningby Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma,…
Summary of Hierarchical State Space Models For Continuous Sequence-to-sequence Modeling, by Raunaq Bhirangi et al.
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modelingby Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel…
Summary of Classification Diffusion Models: Revitalizing Density Ratio Estimation, by Shahar Yadin et al.
Classification Diffusion Models: Revitalizing Density Ratio Estimationby Shahar Yadin, Noam Elata, Tomer MichaeliFirst submitted to…
Summary of Negative Impact Of Heavy-tailed Uncertainty and Error Distributions on the Reliability Of Calibration Statistics For Machine Learning Regression Tasks, by Pascal Pernot
Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for…
Summary of Optimizing Predictive Ai in Physical Design Flows with Mini Pixel Batch Gradient Descent, by Haoyu Yang and Anthony Agnesina and Haoxing Ren
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descentby Haoyu Yang,…
Summary of Attention As Robust Representation For Time Series Forecasting, by Peisong Niu et al.
Attention as Robust Representation for Time Series Forecastingby PeiSong Niu, Tian Zhou, Xue Wang, Liang…
Summary of A Multi-step Loss Function For Robust Learning Of the Dynamics in Model-based Reinforcement Learning, by Abdelhakim Benechehab et al.
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learningby Abdelhakim…
Summary of Learning with Geometry: Including Riemannian Geometric Features in Coefficient Of Pressure Prediction on Aircraft Wings, by Liwei Hu et al.
Learning with Geometry: Including Riemannian Geometric Features in Coefficient of Pressure Prediction on Aircraft Wingsby…
Summary of An Empirical Investigation Into the Effect Of Parameter Choices in Knowledge Distillation, by Md Arafat Sultan et al.
An Empirical Investigation into the Effect of Parameter Choices in Knowledge Distillationby Md Arafat Sultan,…
Summary of Predicting the Skies: a Novel Model For Flight-level Passenger Traffic Forecasting, by Sina Ehsani et al.
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecastingby Sina Ehsani, Elina Sergeeva,…