The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challengesby Sitao Luan, Chenqing…
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstructionby Yiming Wang, Siyu Tang, Mengyu ChuFirst submitted…
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learningby Ning Wang, Shanghao Shi,…
Accelerating the inference of string generation-based chemical reaction models for industrial applicationsby Mikhail Andronov, Natalia…
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex…
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for…
Investigating the Interplay of Prioritized Replay and Generalizationby Parham Mohammad Panahi, Andrew Patterson, Martha White,…
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detectionby Chengyuan Deng, Zhengzhang Chen,…
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Modelsby Yash Patawari…
Optimized Multi-Token Joint Decoding with Auxiliary Model for LLM Inferenceby Zongyue Qin, Ziniu Hu, Zifan…