Summary of Large Language Models Can Be Zero-shot Anomaly Detectors For Time Series?, by Sarah Alnegheimish et al.
Large language models can be zero-shot anomaly detectors for time series?by Sarah Alnegheimish, Linh Nguyen,…
Summary of Fuse: Fast Unified Simulation and Estimation For Pdes, by Levi E. Lingsch et al.
FUSE: Fast Unified Simulation and Estimation for PDEsby Levi E. Lingsch, Dana Grund, Siddhartha Mishra,…
Summary of A Transformer Variant For Multi-step Forecasting Of Water Level and Hydrometeorological Sensitivity Analysis Based on Explainable Artificial Intelligence Technology, by Mingyu Liu et al.
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on…
Summary of A Finite Element-based Physics-informed Operator Learning Framework For Spatiotemporal Partial Differential Equations on Arbitrary Domains, by Yusuke Yamazaki et al.
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domainsby…
Summary of Alternators For Sequence Modeling, by Mohammad Reza Rezaei and Adji Bousso Dieng
Alternators For Sequence Modelingby Mohammad Reza Rezaei, Adji Bousso DiengFirst submitted to arxiv on: 20…
Summary of Integrating Multi-physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion, by Olabode T. Ajenifujah et al.
Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in…
Summary of Residual-based Attention Physics-informed Neural Networks For Spatio-temporal Ageing Assessment Of Transformers Operated in Renewable Power Plants, by Ibai Ramirez et al.
Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power…
Summary of Aspire: Iterative Amortized Posterior Inference For Bayesian Inverse Problems, by Rafael Orozco et al.
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problemsby Rafael Orozco, Ali Siahkoohi, Mathias Louboutin,…
Summary of Adaptive Least Mean Pth Power Graph Neural Networks, by Yi Yan et al.
Adaptive Least Mean pth Power Graph Neural Networksby Yi Yan, Changran Peng, Ercan E. KuruogluFirst…
Summary of Icu Bloodstream Infection Prediction: a Transformer-based Approach For Ehr Analysis, by Ortal Hirszowicz and Dvir Aran
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysisby Ortal Hirszowicz, Dvir AranFirst submitted…