papers
Publications (10)
cs.LG2019
On Connected Sublevel Sets in Deep Learning
Quynh Nguyen
cs.LG2017
The loss surface of deep and wide neural networks
Quynh Nguyen, Matthias Hein
cs.LG2018
Optimization Landscape and Expressivity of Deep CNNs
Quynh Nguyen, Matthias Hein
cs.SI2018
How well can machine learning predict demographics of social media users?
Nina Cesare, Christan Grant, Quynh Nguyen +2
cs.LG2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
Antoine Gautier, Quynh Nguyen, Matthias Hein
cs.LG2018
On the loss landscape of a class of deep neural networks with no bad local valleys
Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
cs.CV2015
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching
Quynh Nguyen, Antoine Gautier, Matthias Hein
cs.LG2018
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein
cs.CV2016
An Efficient Multilinear Optimization Framework for Hypergraph Matching
Quynh Nguyen, Francesco Tudisco, Antoine Gautier +1
cs.CV2016
Latent Embeddings for Zero-shot Classification
Yongqin Xian, Zeynep Akata, Gaurav Sharma +3