- Tseran, Hanna, and Guido Montúfar. “On the Expected Complexity of Maxout Networks.” arXiv preprint arXiv:2107.00379 (2021). pdf
- Tseran, Hanna, et al. “Natural Variational Continual Learning.” NeurIPS Workshop on Continual Learning, 2018. pdf
- Tseran, Hanna, and Tatsuya Harada. “Variational Inference for Continual Learning by using Weight-Perturbation in Adam.” Master’s Thesis, 2018. pdf
- Tseran, Hanna, and Tatsuya Harada. “Memory augmented neural network with Gaussian embeddings for one-shot learning.” NIPS Workshop on Bayesian Deep Learning, 2017. pdf
- Tseran, Hanna, and Yuri Svirid. “Algorithms for recognition of circular objects and elements on them (in case of coins).” Specialist Thesis, 2015. (In Russian)
You can also find some of my publications on my Google Scholar profile.