In an exclusive chat with The Sun, Captain Karsten Borner reveals what he saw the night the Bayesian sank - and the key piece of evidence he believes proves that the crew were not at fault IN the ...

Abstract: The exponential complexity growth of the very large-scale integration (VLSI) design space demands efficient automated parameter tuning of constraints. Confronting the dual limitations of ...

Abstract: Bayesian optimization (BO), a data-efficient method for expensive black-box optimization, has traditionally focused on single-task scenarios, ignoring potential correlations among related ...

CDM-PSL (Composite Diffusion Model-Based Pareto Set Learning) is a novel algorithm designed to address the challenges of expensive multi-objective Bayesian optimization (EMOBO). While MOBO has shown ...

# Map indices to categorical values: {0:'a', 1:'b', 2:'c', 3:'d'} # Then map to s values: {'a':10, 'b':5, 'c':7.5, 'd':6} s_values = [10.0, 5.0, 7.5, 6.0 ...