Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financingby Francesco Zola, Lander Segurola,…
Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulationsby Paulami Banerjee, Mohan Padmanabha, Chaitanya…
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Schedulingby Xudong Sun, Nutan…
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offsby Charles C. Margossian, Loucas Pillaud-Vivien, Lawrence…
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial…
Arcee’s MergeKit: A Toolkit for Merging Large Language Modelsby Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi,…
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regressionby Lu Zou, Liang DingFirst submitted to…
Counting Network for Learning from Majority Labelby Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma BiseFirst…
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharingby Ehsan Lari, Reza Arablouei,…
Probabilistic Circuits with Constraints via Convex Optimizationby Soroush Ghandi, Benjamin Quost, Cassio de CamposFirst submitted…