Summary of Sok: Decentralized Ai (deai), by Zhipeng Wang et al.
SoK: Decentralized AI (DeAI)by Zhipeng Wang, Rui Sun, Elizabeth Lui, Vatsal Shah, Xihan Xiong, Jiahao…
Summary of A Graph Neural Network Deep-dive Into Successful Counterattacks, by Joris Bekkers et al.
A Graph Neural Network deep-dive into successful counterattacksby Joris Bekkers, Amod SahasrabudheFirst submitted to arxiv…
Summary of Towards Precise Scaling Laws For Video Diffusion Transformers, by Yuanyang Yin et al.
Towards Precise Scaling Laws for Video Diffusion Transformersby Yuanyang Yin, Yaqi Zhao, Mingwu Zheng, Ke…
Summary of Learning New Concepts, Remembering the Old: a Novel Continual Learning, by Songning Lai et al.
Learning New Concepts, Remembering the Old: A Novel Continual Learningby Songning Lai, Mingqian Liao, Zhangyi…
Summary of Puzzle Similarity: a Perceptually-guided Cross-reference Metric For Artifact Detection in 3d Scene Reconstructions, by Nicolai Hermann et al.
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructionsby Nicolai Hermann,…
Summary of Unlocking the Potential Of Text-to-image Diffusion with Pac-bayesian Theory, by Eric Hanchen Jiang et al.
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theoryby Eric Hanchen Jiang, Yasi Zhang, Zhi…
Summary of Time-series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation Of the State-of-the-art Algorithms, by Mojtaba A. Farahani et al.
Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithmsby Mojtaba A.…
Summary of Confidence-aware Deep Learning For Load Plan Adjustments in the Parcel Service Industry, by Thomas Bruys et al.
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industryby Thomas Bruys, Reza…
Summary of Inference Scaling Flaws: the Limits Of Llm Resampling with Imperfect Verifiers, by Benedikt Stroebl et al.
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiersby Benedikt Stroebl, Sayash Kapoor,…
Summary of Training Hamiltonian Neural Networks Without Backpropagation, by Atamert Rahma et al.
Training Hamiltonian neural networks without backpropagationby Atamert Rahma, Chinmay Datar, Felix DietrichFirst submitted to arxiv…