Summary of Exechecker: Where Did I Go Wrong?, by Yiwen Gu et al.
ExeChecker: Where Did I Go Wrong?by Yiwen Gu, Mahir Patel, Margrit BetkeFirst submitted to arxiv…
Summary of Wavegnn: Modeling Irregular Multivariate Time Series For Accurate Predictions, by Arash Hajisafi et al.
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictionsby Arash Hajisafi, Maria Despoina Siampou, Bita…
Summary of Centaur: Bridging the Impossible Trinity Of Privacy, Efficiency, and Performance in Privacy-preserving Transformer Inference, by Jinglong Luo et al.
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inferenceby Jinglong…
Summary of Svgfusion: Scalable Text-to-svg Generation Via Vector Space Diffusion, by Ximing Xing et al.
SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusionby Ximing Xing, Juncheng Hu, Jing Zhang, Dong…
Summary of Efficient Large-scale Traffic Forecasting with Transformers: a Spatial Data Management Perspective, by Yuchen Fang et al.
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspectiveby Yuchen Fang, Yuxuan Liang,…
Summary of Doe-1: Closed-loop Autonomous Driving with Large World Model, by Wenzhao Zheng et al.
Doe-1: Closed-Loop Autonomous Driving with Large World Modelby Wenzhao Zheng, Zetian Xia, Yuanhui Huang, Sicheng…
Summary of Optimising Tinyml with Quantization and Distillation Of Transformer and Mamba Models For Indoor Localisation on Edge Devices, by Thanaphon Suwannaphong et al.
Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on…
Summary of In-dataset Trajectory Return Regularization For Offline Preference-based Reinforcement Learning, by Songjun Tu et al.
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learningby Songjun Tu, Jingbo Sun, Qichao Zhang,…
Summary of Towards Modeling Evolving Longitudinal Health Trajectories with a Transformer-based Deep Learning Model, by Hans Moen et al.
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning modelby Hans Moen, Vishnu…
Summary of Smmf: Square-matricized Momentum Factorization For Memory-efficient Optimization, by Kwangryeol Park and Seulki Lee
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimizationby Kwangryeol Park, Seulki LeeFirst submitted to arxiv on:…