Convergence Guarantees for Deep Epsilon Greedy Policy Learning. - Michael G. Rawson; Radu Balan (CoRR, 2021)

Petri Nets for Concurrent Programming. - Marshall Rawson; Michael G. Rawson (IPDRM@SC, 2022)

Linear Run Time of Persistent Homology Computation with GPU Parallelization. - Michael G. Rawson (CoRR, 2022)

Renormalized Sparse Neural Network Pruning. - Michael G. Rawson (CoRR, 2022)

Motion correction in MRI using deep learning and a novel hybrid loss function. - Lei Zhang 036; Xiaoke Wang; Michael G. Rawson; Radu Balan; Edward H. Herskovits; Elias R. Melhem; Linda Chang; Ze Wang 003; Thomas Ernst 001 (CoRR, 2022)

Fast computation of permutation equivariant layers with the partition algebra. - Charles Godfrey; Michael G. Rawson; Davis Brown; Henry Kvinge (CoRR, 2023)

Formal Concept Lattice Representations and Algorithms for Hypergraphs. - Michael G. Rawson; Audun Myers; Robert Green; Michael Robinson 001; Cliff A. Joslyn (CoRR, 2023)

Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction. - Michael G. Rawson; Timothy Doster; Tegan Emerson (CoRR, 2023)

Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function. - Lei Zhang 036; Xiaoke Wang; Michael G. Rawson; Radu V. Balan; Edward H. Herskovits; Elias R. Melhem; Linda Chang; Ze Wang 003; Thomas Ernst 001 (Algorithms, 2024)