8 citations · 12 across the 6 of their papers we have counts for
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cs.LG2022★ 8 cited
Positive unlabeled learning with tensor networks
Bojan Žunkovič
Positive unlabeled learning is a binary classification problem with positive and unlabeled data. It is common in domains where negative labels are costly or impossible to obtain, e…
cond-mat.stat-mech2022
Grokking phase transitions in learning local rules with gradient descent
Bojan Žunkovič, Enej Ilievski
We discuss two solvable grokking (generalisation beyond overfitting) models in a rule learning scenario. We show that grokking is a phase transition and find exact analytic express…
cs.LG2022★ 4 cited
Deep tensor networks with matrix product operators
Bojan Žunkovič
We introduce deep tensor networks, which are exponentially wide neural networks based on the tensor network representation of the weight matrices. We evaluate the proposed method o…