Summary of Low-rank Optimal Transport Through Factor Relaxation with Latent Coupling, by Peter Halmos et al.
Low-Rank Optimal Transport through Factor Relaxation with Latent Couplingby Peter Halmos, Xinhao Liu, Julian Gold,…
Low-Rank Optimal Transport through Factor Relaxation with Latent Couplingby Peter Halmos, Xinhao Liu, Julian Gold,…
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transportby Sannara Ek, Kaile Wang, François…
Creation and Evaluation of a Food Product Image Dataset for Product Property Extractionby Christoph Brosch,…
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approachby Ratun Rahman, Neeraj Kumar,…
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Databy Kai Helli, David Schnurr, Noah…
Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slicesby Huy Tran, Yikun Bai, Ashkan Shahbazi, John…
Enhancing PTSD Outcome Prediction with Ensemble Models in Disaster Contextsby Ayesha Siddiqua, Atib Mohammad Oni,…
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Surveyby Yang Gu, Hengyu…
Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey…
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-makingby Jian Guo, Saizhuo Wang, Yiyan QiFirst submitted…