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cs.LG2023★ 1 cited
Machine learning in and out of equilibrium
Shishir Adhikari, Alkan Kabakçıoğlu, Alexander Strang +2
The algorithms used to train neural networks, like stochastic gradient descent (SGD), have close parallels to natural processes that navigate a high-dimensional parameter space --…
eess.SP2023
Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes
Daniel Chen, Alexander G. Strang, Andrew W. Eckford +1
Many natural and engineered systems can be modeled as discrete state Markov processes. Often, only a subset of states are directly observable. Inferring the conditional probability…