Digital Discovery · 2023 · 18 citations · 44 references
ComputingComputer ScienceData ScienceArtificial IntelligenceMachine LearningScientific ComputingComputational ModelingDeep LearningScientific DiscoveryComputational DiscoveryData-driven Scientific DiscoveryDiscovery Automation
GFlowNets provide a general probabilistic framework for accelerating the computational phase of the scientific discovery process, which is crucial for tackling pressing challenges posed by global pandemics and the climate crisis.
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Highly accurate protein structure prediction with AlphaFold
John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 45.2K citations · Full text
Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison et al. · Nature · 2016 · 15.8K citations
Advances in neural information processing systems 7
Computers & Mathematics with Applications · 1996 · 14.4K citations