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
4782016
The Loss Surface of Deep and Wide Neural Networks
Q Nguyen, M Hein
International Conference on Machine Learning. ICML 2017, 2017
1992017
Optimization Landscape and Expressivity of Deep CNNs
Q Nguyen, M Hein
International Conference on Machine Learning. ICML 2018, 2018
83*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
552015
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
432019
On Connected Sublevel Sets in Deep Learning
Q Nguyen
International Conference on Machine Learning. ICML 2019, 2019
392019
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
292016
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
242018
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
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Q Nguyen, M Mondelli
Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
42020
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Q Nguyen, M Mondelli, G Montufar
arXiv preprint arXiv:2012.11654, 2020
22020
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Q Nguyen
arXiv preprint arXiv:2101.09612, 2021
12021
A note on connectivity of sublevel sets in deep learning
Q Nguyen
arXiv preprint arXiv:2101.08576, 2021
12021
Nonlinear Spectral Methods for Nonconvex Optimization with Global Optimality
QN Nguyen, A Gautier, M Hein
NIPS Workshop on Optimization, 2016
12016
On Connectivity of Solutions in Deep Learning: The Role of Over-parameterization and Feature Quality
Q Nguyen, P Brechet, M Mondelli
arXiv preprint arXiv:2102.09671, 2021
2021
A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks
Q Nguyen
arXiv preprint arXiv:2101.12017, 2021
2021
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Articles 1–16