Brian Staber

1. Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
   2023/01/31 by Clément Bénard, Bénard, Clément, Brian Staber +3 · 2 citations
   Computer Science · Engineering · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Laser-induced spectroscopy and plasma #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)
2. Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
   2024/02/06 by Raphaël Carpintero Perez, Sébastien da Veiga, Perez, Raphaël Carpintero +5 · 2 citations
   Materials Science · #Machine Learning in Materials Science
3. MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
   2023/05/22 by Fabien Casenave, Casenave, Fabien, Brian Staber +3 · 1 citation
   Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization