Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic…
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributionsby Patrick Kuiper, Ali…
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Modelsby Adam Karvonen,…
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methodsby Xusheng Luo, Tianhao Wei, Simin…
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and…
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Promptingby Ying…
Non-convolutional Graph Neural Networksby Yuanqing Wang, Kyunghyun ChoFirst submitted to arxiv on: 31 Jul 2024CategoriesMain:…
Penzai + Treescope: A Toolkit for Interpreting, Visualizing, and Editing Models As Databy Daniel D.…
UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics databy Michael Hartung, Andreas Maier,…
Load Balancing in Federated Learningby Alireza Javani, Zhiying WangFirst submitted to arxiv on: 1 Aug…