Achieving Group Fairness through Independence in Predictive Process Monitoringby Jari Peeperkorn, Simon De VosFirst submitted…
Nonlinear Operator Learning Using Energy Minimization and MLPsby Mats G. Larson, Carl Lundholm, Anna PerssonFirst…
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated…
LossVal: Efficient Data Valuation for Neural Networksby Tim Wibiral, Mohamed Karim Belaid, Maximilian Rabus, Ansgar…
Pathwise optimization for bridge-type estimators and its applicationsby Alessandro De Gregorio, Francesco IafrateFirst submitted to…
Self-test loss functions for learning weak-form operators and gradient flowsby Yuan Gao, Quanjun Lang, Fei…
Generalized Diffusion Model with Adjusted Offset Noiseby Takuro KutsunaFirst submitted to arxiv on: 4 Dec…
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuningby Ranganath Krishnan, Piyush Khanna, Omesh TickooFirst…
GUESS: Generative Uncertainty Ensemble for Self Supervisionby Salman Mohamadi, Gianfranco Doretto, Donald A. AdjerohFirst submitted…
DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South Americaby Daniel…