Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montúfar
(2024).
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape.
In
TMLR.
Hanna Tseran, Guido Montúfar
(2023).
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization.
In
ICML.
Hanna Tseran, Guido Montúfar
(2021).
On the Expected Complexity of Maxout Networks.
In
NeurIPS.
Hanna Tseran, Mohammad Emtiyaz Khan, Tatsuya Harada, Thang D. Bui
(2018).
Natural Variational Continual Learning.
In NeurIPS Workshop on Continual Learning.
Hanna Tseran, Tatsuya Harada
(2017).
Memory augmented neural network with Gaussian embeddings for one-shot learning.
In NeurIPS Workshop on Bayesian Deep Learning.