Kyle Mills

Deep learning and the electronic structure problem

Isaac Tamblyn, Kyle Mills, Michael Spanner, 2017 .

Extensive deep neural networks for transferring small scale learning to large scale systems

Chris Beeler, Isaac Tamblyn, Adam Domurad, 2017, Chemical science.

Finding the ground state of spin Hamiltonians with reinforcement learning

Isaac Tamblyn, Kyle Mills, Pooya Ronagh, 2020, Nature Machine Intelligence.

Adversarial Generation of Mesoscale Surfaces from Small-Scale Chemical Motifs

Isaac Tamblyn, Kyle Mills, Corneel Casert, 2020 .

Maximizing thermal efficiency of heat engines using neuroevolutionary strategies for reinforcement learning

Uladzimir Yahorau, Rory Coles, Isaac Tamblyn, 2019 .

Optical lattice experiments at unobserved conditions with generative adversarial deep learning

Isaac Tamblyn, Kyle Mills, Jan Ryckebusch, 2020, Physical Review Research.

Adversarial machine learning for modeling the distribution of large-scale ultracold atom experiments

Isaac Tamblyn, Kyle Mills, Jan Ryckebusch, 2020 .

Weakly-supervised multi-class object localization using only object counts as labels pdf

Isaac Tamblyn, Kyle Mills, 2021, ArXiv.