David Pfau
Biohaven Pharmaceuticals (United States)(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Advanced Chemical Physics Studies, Neural Networks and Applications, Gaussian Processes and Bayesian Inference, Magnetic confinement fusion research
Most-Cited Works
- → Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data(2016)1,164 cited
- → Magnetic control of tokamak plasmas through deep reinforcement learning(2022)671 cited
- → Unrolled Generative Adversarial Networks(2016)425 cited
- → Pushing the frontiers of density functionals by solving the fractional electron problem(2021)381 cited
- → Learning to learn by gradient descent by gradient descent(2016)344 cited
- → Towards a Definition of Disentangled Representations(2018)294 cited
- → Ab initio quantum chemistry with neural-network wavefunctions(2023)104 cited
- → Connecting Generative Adversarial Networks and Actor-Critic Methods(2016)93 cited
- → Convolution by Evolution(2016)76 cited
- → Discovering Quantum Phase Transitions with Fermionic Neural Networks(2023)72 cited