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Quynh Nguyen 0001
Person information
- affiliation: Saarland University, Department of Computer Science, Saarbrücken, Germany
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
Other persons with the same name
- Quynh Nguyen — disambiguation page
- Quynh Nguyen 0002 — University of Southern California, Ming Hsieh Department of Electrical Engineering, LA, USA
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Journal Articles
- 2017
- [j1]Quynh Nguyen, Francesco Tudisco
, Antoine Gautier, Matthias Hein:
An Efficient Multilinear Optimization Framework for Hypergraph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1054-1075 (2017)
Conference and Workshop Papers
- 2021
- [c13]Quynh Nguyen:
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths. ICML 2021: 8056-8062 - [c12]Quynh Nguyen, Marco Mondelli, Guido F. Montúfar:
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks. ICML 2021: 8119-8129 - [c11]Quynh Nguyen, Pierre Bréchet, Marco Mondelli:
When Are Solutions Connected in Deep Networks? NeurIPS 2021: 20956-20969 - 2020
- [c10]Quynh Nguyen, Marco Mondelli:
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. NeurIPS 2020 - 2019
- [c9]Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein:
On the loss landscape of a class of deep neural networks with no bad local valleys. ICLR (Poster) 2019 - [c8]Quynh Nguyen:
On Connected Sublevel Sets in Deep Learning. ICML 2019: 4790-4799 - 2018
- [c7]Quynh Nguyen, Matthias Hein:
The loss surface and expressivity of deep convolutional neural networks. ICLR (Workshop) 2018 - [c6]Quynh Nguyen, Matthias Hein:
Optimization Landscape and Expressivity of Deep CNNs. ICML 2018: 3727-3736 - [c5]Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein:
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions. ICML 2018: 3737-3746 - 2017
- [c4]Quynh Nguyen, Matthias Hein:
The Loss Surface of Deep and Wide Neural Networks. ICML 2017: 2603-2612 - 2016
- [c3]Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele
:
Latent Embeddings for Zero-Shot Classification. CVPR 2016: 69-77 - [c2]Antoine Gautier, Quynh Nguyen, Matthias Hein:
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods. NIPS 2016: 1687-1695 - 2015
- [c1]Quynh Nguyen Ngoc, Antoine Gautier, Matthias Hein:
A flexible tensor block coordinate ascent scheme for hypergraph matching. CVPR 2015: 5270-5278
Informal and Other Publications
- 2021
- [i15]Quynh Nguyen:
A Note on Connectivity of Sublevel Sets in Deep Learning. CoRR abs/2101.08576 (2021) - [i14]Quynh Nguyen:
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths. CoRR abs/2101.09612 (2021) - [i13]Quynh Nguyen:
A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks. CoRR abs/2101.12017 (2021) - [i12]Quynh Nguyen, Pierre Bréchet, Marco Mondelli:
On Connectivity of Solutions in Deep Learning: The Role of Over-parameterization and Feature Quality. CoRR abs/2102.09671 (2021) - 2020
- [i11]Quynh Nguyen, Marco Mondelli:
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. CoRR abs/2002.07867 (2020) - [i10]Quynh Nguyen, Marco Mondelli, Guido Montúfar:
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks. CoRR abs/2012.11654 (2020) - 2019
- [i9]Quynh Nguyen:
On Connected Sublevel Sets in Deep Learning. CoRR abs/1901.07417 (2019) - 2018
- [i8]Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein:
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions. CoRR abs/1803.00094 (2018) - [i7]Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein:
On the loss landscape of a class of deep neural networks with no bad local valleys. CoRR abs/1809.10749 (2018) - 2017
- [i6]Quynh Nguyen, Matthias Hein:
The loss surface of deep and wide neural networks. CoRR abs/1704.08045 (2017) - [i5]Quynh Nguyen, Matthias Hein:
The loss surface and expressivity of deep convolutional neural networks. CoRR abs/1710.10928 (2017) - 2016
- [i4]Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele:
Latent Embeddings for Zero-shot Classification. CoRR abs/1603.08895 (2016) - [i3]Antoine Gautier, Quynh Nguyen, Matthias Hein:
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods. CoRR abs/1610.09300 (2016) - 2015
- [i2]Quynh Nguyen Ngoc, Antoine Gautier, Matthias Hein:
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching. CoRR abs/1504.07907 (2015) - [i1]Quynh Nguyen, Francesco Tudisco, Antoine Gautier, Matthias Hein:
An Efficient Multilinear Optimization Framework for Hypergraph Matching. CoRR abs/1511.02667 (2015)
Coauthor Index
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