Summary of Enhancing Power Quality Event Classification with Ai Transformer Models, by Ahmad Mohammad Saber et al.
Enhancing Power Quality Event Classification with AI Transformer Modelsby Ahmad Mohammad Saber, Amr Youssef, Davor…
Summary of Privacy-enhancing Collaborative Information Sharing Through Federated Learning — a Case Of the Insurance Industry, by Panyi Dong et al.
Privacy-Enhancing Collaborative Information Sharing through Federated Learning – A Case of the Insurance Industryby Panyi…
Summary of Verifiable Boosted Tree Ensembles, by Stefano Calzavara et al.
Verifiable Boosted Tree Ensemblesby Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno PibiriFirst submitted to…
Summary of Energy-efficiency Limits on Training Ai Systems Using Learning-in-memory, by Zihao Chen and Johannes Leugering and Gert Cauwenberghs and Shantanu Chakrabartty
Energy-efficiency Limits on Training AI Systems using Learning-in-Memoryby Zihao Chen, Johannes Leugering, Gert Cauwenberghs, Shantanu…
Summary of Batch and Match: Black-box Variational Inference with a Score-based Divergence, by Diana Cai et al.
Batch and match: black-box variational inference with a score-based divergenceby Diana Cai, Chirag Modi, Loucas…
Summary of Using Construction Waste Hauling Trucks’ Gps Data to Classify Earthwork-related Locations: a Chengdu Case Study, by Lei Yu et al.
Using construction waste hauling trucks’ GPS data to classify earthwork-related locations: A Chengdu case studyby…
Summary of Incorporating Expert Rules Into Neural Networks in the Framework Of Concept-based Learning, by Andrei V. Konstantinov and Lev V. Utkin
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learningby Andrei V. Konstantinov,…
Summary of Learning Developmental Age From 3d Infant Kinetics Using Adaptive Graph Neural Networks, by Daniel Holmberg et al.
Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networksby Daniel Holmberg, Manu…
Summary of Robust Training Of Federated Models with Extremely Label Deficiency, by Yonggang Zhang et al.
Robust Training of Federated Models with Extremely Label Deficiencyby Yonggang Zhang, Zhiqin Yang, Xinmei Tian,…
Summary of Data Science with Llms and Interpretable Models, by Sebastian Bordt et al.
Data Science with LLMs and Interpretable Modelsby Sebastian Bordt, Ben Lengerich, Harsha Nori, Rich CaruanaFirst…