Quynh Nguyen
Title
Cited by
Cited by
Year
Latent Embeddings for Zero-shot Classification
Y Xian, Z Akata, G Sharma, Q Nguyen, M Hein, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2016, 2016
3662016
The Loss Surface of Deep and Wide Neural Networks
Q Nguyen, M Hein
International Conference on Machine Learning. ICML 2017, 2017
1602017
Optimization Landscape and Expressivity of Deep CNNs
Q Nguyen, M Hein
International Conference on Machine Learning. ICML 2018, 2018
61*2018
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching
Q Nguyen, A Gautier, M Hein
IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2015, 2015
502015
On the Loss Landscape of a Class of Deep Neural Networks with No Bad Local Valleys
Q Nguyen, MC Mukkamala, M Hein
International Conference on Learning Representations. ICLR 2019, 2019
252019
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
A Gautier, Q Nguyen, M Hein
Advances in Neural Information Processing Systems. NIPS 2016, 2016
252016
On Connected Sublevel Sets in Deep Learning
Q Nguyen
International Conference on Machine Learning. ICML 2019, 2019
232019
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
Q Nguyen, M Mukkamala, M Hein
International Conference on Machine Learning. ICML 2018, 2018
182018
An Efficient Multilinear Optimization Framework for Hypergraph Matching
Q Nguyen, F Tudisco, A Gautier, M Hein
Transactions on Pattern Analysis and Machine Intelligence. T-PAMI 2017 39 (6 …, 2016
182016
Nonlinear Spectral Methods for Nonconvex Optimization with Global Optimality
QN Nguyen, A Gautier, M Hein
NIPS Workshop OPT, 2016
12016
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Q Nguyen, M Mondelli
arXiv preprint arXiv:2002.07867, 2020
2020
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Articles 1–11