Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solvingby Sohei Arisaka, Qianxiao LiFirst submitted to arxiv…
Accelerating Convergence in Bayesian Few-Shot Classificationby Tianjun Ke, Haoqun Cao, Feng ZhouFirst submitted to arxiv…
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learningby Weike Peng,…
Implicit Generative Prior for Bayesian Neural Networksby Yijia Liu, Xiao WangFirst submitted to arxiv on:…
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecastingby Julia Gastinger, Christian Meilicke, Federico…
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimizationby Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov,…
Offline Reinforcement Learning with Behavioral Supervisor Tuningby Padmanaba Srinivasan, William KnottenbeltFirst submitted to arxiv on:…
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Predictionby Tahrima…
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with Itby…
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketchingby Zibin Huang, Jun XianFirst submitted…