Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracyby…
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architecturesby Peimeng Guan,…
Pruning neural network models for gene regulatory dynamics using data and domain knowledgeby Intekhab Hossain,…
What makes an image realistic?by Lucas TheisFirst submitted to arxiv on: 7 Mar 2024CategoriesMain: Machine…
Enhancing Data Quality in Federated Fine-Tuning of Foundation Modelsby Wanru Zhao, Yaxin Du, Nicholas Donald…
Architectural Blueprint For Heterogeneity-Resilient Federated Learningby Satwat Bashir, Tasos Dagiuklas, Kasra Kassai, Muddesar IqbalFirst submitted…
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AIby Nabeel Seedat,…
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale…
End-to-end Conditional Robust Optimizationby Abhilash Chenreddy, Erick DelageFirst submitted to arxiv on: 7 Mar 2024CategoriesMain:…
Boosting Fairness and Robustness in Over-the-Air Federated Learningby Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler,…