17 citations · 50 across the 14 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 4 cited
Expressiveness and Learning of Hidden Quantum Markov Models
Sandesh Adhikary, Siddarth Srinivasan, Geoff Gordon +1
Extending classical probabilistic reasoning using the quantum mechanical view of probability has been of recent interest, particularly in the development of hidden quantum Markov m…
cs.LG2019★ 2 cited
Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold
Sandesh Adhikary, Siddarth Srinivasan, Byron Boots
Quantum graphical models (QGMs) extend the classical framework for reasoning about uncertainty by incorporating the quantum mechanical view of probability. Prior work on QGMs has f…