Следене
Quynh Nguyen
Quynh Nguyen
Senior Researcher, German Center for Artificial Intelligence (DFKI)
Потвърден имейл адрес: quynhnguyen.org - Начална страница
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Позовавания
Позовавания
Година
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
6682016
The Loss Surface of Deep and Wide Neural Networks
Q Nguyen, M Hein
International Conference on Machine Learning. ICML 2017, 2017
2542017
Optimization Landscape and Expressivity of Deep CNNs
Q Nguyen, M Hein
International Conference on Machine Learning. ICML 2018, 2018
117*2018
On Connected Sublevel Sets in Deep Learning
Q Nguyen
International Conference on Machine Learning. ICML 2019, 2019
712019
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
672015
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
642019
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
382016
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
352018
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
272020
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
252016
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Q Nguyen
International Conference on Machine Learning. ICML 2021, 2021
232021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Q Nguyen, M Mondelli, G Montufar
International Conference on Machine Learning. ICML 2021, 2020
222020
A Note on Connectivity of Sublevel Sets in Deep Learning
Q Nguyen
arXiv preprint arXiv:2101.08576, 2021
42021
When Are Solutions Connected in Deep Networks?
Q Nguyen, P Brechet, M Mondelli
Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021
3*2021
Nonlinear Spectral Methods for Nonconvex Optimization with Global Optimality
QN Nguyen, A Gautier, M Hein
NIPS Workshop on Optimization, 2016
12016
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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