Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracyby Jiahui Wu, Vanessa Frias-MartinezFirst submitted to…
TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learningby Lev Telyatnikov, Guillermo Bernardez, Marco Montagna, Pavlo…
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningby…
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architectureby Yubin…
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTMby Kazi Fuad Bin…
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithmby Ahmed Elbakary, Chaouki Ben Issaid, Mohammad Shehab, Karim…
Training and Validating a Treatment Recommender with Partial Verification Evidenceby Vishnu Unnikrishnan, Clara Puga, Miro…
Space-Time Continuous PDE Forecasting using Equivariant Neural Fieldsby David M. Knigge, David R. Wessels, Riccardo…
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Setsby Eleni Straitouri, Suhas Thejaswi,…
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamicsby Ankit Vani, Frederick Tung, Gabriel…