Robert John Nicholas Baldock
Google (United States)(US)
Publications by Year
Research Areas
Markov Chains and Monte Carlo Methods, Topology Optimization in Engineering, Machine Learning and Data Classification, Neural Networks and Applications, High-pressure geophysics and materials
Most-Cited Works
- → Determining pressure-temperature phase diagrams of materials(2016)70 cited
- → Constant-pressure nested sampling with atomistic dynamics(2017)44 cited
- → What Do Neural Networks Learn When Trained With Random Labels?(2020)29 cited
- → Structural Topology Optimization of Braced Steel Frameworks Using Genetic Programming(2006)20 cited
- → Deep Learning Through the Lens of Example Difficulty(2021)20 cited
- → Evolving Optimized Braced Steel Frameworks for Tall Buildings Using Modified Pattern Search(2005)16 cited
- → Classical Statistical Mechanics with Nested Sampling(2017)14 cited
- Structural optimisation in building design practice - case-studies in topology optimisation of bracing systems(2007)
- → Exploiting molecular dynamics in Nested Sampling simulations of small peptides(2015)6 cited
- What Do Neural Networks Learn When Trained With Random Labels(2020)