Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendationsby Muhammad Bilal…
Explainable Global Wildfire Prediction Models using Graph Neural Networksby Dayou Chen, Sibo Cheng, Jinwei Hu,…
Natural Language Reinforcement Learningby Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik,…
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networksby Annie Wong, Jacob…
Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactionsby Lorenzo GiustiFirst…
Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thoughtby Zhen-Yu…
Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attributeby Tajima Shinji, Ren Sugihara,…
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shiftsby Masoumeh Javanbakhat, Md Tasnimul…
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learningby Rui Ye, Wenhao…
Efficient Incremental Belief Updates Using Weighted Virtual Observationsby David TolpinFirst submitted to arxiv on: 10…