CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learningby Victor Augusto Kich, Jair…
On the Convergence of a Federated Expectation-Maximization Algorithmby Zhixu Tao, Rajita Chandak, Sanjeev KulkarniFirst submitted…
FuXi Weather: A data-to-forecast machine learning system for global weatherby Xiuyu Sun, Xiaohui Zhong, Xiaoze…
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivityby Yam Eitan,…
A Structural Feature-Based Approach for Comprehensive Graph Classificationby Saiful Islam, Md. Nahid Hasan, Pitambar KhanraFirst…
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learningby Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde,…
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EMby Minkyu Jeon, Rishwanth Raghu,…
S-SIRUS: an explainability algorithm for spatial regression Random Forestby Luca Patelli, Natalia Golini, Rosaria Ignaccolo,…
Incremental Gauss-Newton Descent for Machine Learningby Mikalai Korbit, Mario ZanonFirst submitted to arxiv on: 10…
Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine…