Enhancing Lithological Mapping with Spatially Constrained Bayesian Network (SCB-Net): An Approach for Field Data-Constrained Predictions…
SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classificationby Md. Simul Hasan…
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Modelsby John Fischer,…
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspectionby Luiza Ribeiro Marnet, Yury Brodskiy,…
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Updateby Ziru Niu, Hai Dong,…
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial…
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillationby Phuc Phan, Hieu Tran,…
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolutionby Tailin Wu,…
Estimating Epistemic and Aleatoric Uncertainty with a Single Modelby Matthew A. Chan, Maria J. Molina,…
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimationby Hsiang Hsu, Guihong Li, Shaohan Hu,…