Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretabilityby Jatin NainaniFirst submitted to…
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphsby Zhongshu Zhu,…
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriorsby Top Piriyakulkij, Yingheng Wang, Volodymyr…
Neural Causal Abstractionsby Kevin Xia, Elias BareinboimFirst submitted to arxiv on: 5 Jan 2024CategoriesMain: Machine…
A backdoor attack against link prediction tasks with graph neural networksby Jiazhu Dai, Haoyu SunFirst…
Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Networkby Muhammad Yaqub,…
A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODEby Ikumi Okubo, Keisuke Sugiura,…
Data-Centric Foundation Models in Computational Healthcare: A Surveyby Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng…
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D…
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpointsby Jinyang Yuan, Tonglin Chen, Zhimeng Shen, Bin Li,…