A flexible tensor block coordinate ascent scheme for hypergraph matching. - Quynh Nguyen Ngoc; Antoine Gautier 001; Matthias Hein 001 (CVPR, 2015)

Latent Embeddings for Zero-Shot Classification. - Yongqin Xian; Zeynep Akata; Gaurav Sharma 004; Quynh Nguyen 001; Matthias Hein 001; Bernt Schiele (CVPR, 2016)

Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods. - Antoine Gautier 001; Quynh Nguyen 001; Matthias Hein 001 (NIPS, 2016)

The Loss Surface of Deep and Wide Neural Networks. - Quynh Nguyen 001; Matthias Hein 001 (ICML, 2017)

An Efficient Multilinear Optimization Framework for Hypergraph Matching. - Quynh Nguyen 001; Francesco Tudisco; Antoine Gautier 001; Matthias Hein 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

The loss surface and expressivity of deep convolutional neural networks. - Quynh Nguyen 001; Matthias Hein 001 (ICLR (Workshop), 2018)

Optimization Landscape and Expressivity of Deep CNNs. - Quynh Nguyen 001; Matthias Hein 001 (ICML, 2018)

Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions. - Quynh Nguyen 001; Mahesh Chandra Mukkamala; Matthias Hein 001 (ICML, 2018)

On the loss landscape of a class of deep neural networks with no bad local valleys. - Quynh Nguyen 001; Mahesh Chandra Mukkamala; Matthias Hein 001 (ICLR (Poster), 2019)

On Connected Sublevel Sets in Deep Learning. - Quynh Nguyen 001 (ICML, 2019)

Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. - Quynh Nguyen 001; Marco Mondelli (NeurIPS, 2020)

On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths. - Quynh Nguyen 001 (ICML, 2021)

Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks. - Quynh Nguyen 001; Marco Mondelli; Guido F. Montúfar (ICML, 2021)

When Are Solutions Connected in Deep Networks? - Quynh Nguyen 001; Pierre Bréchet; Marco Mondelli (NeurIPS, 2021)

A Note on Connectivity of Sublevel Sets in Deep Learning. - Quynh Nguyen 001 (CoRR, 2021)

A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks. - Quynh Nguyen 001 (CoRR, 2021)

On Connectivity of Solutions in Deep Learning: The Role of Over-parameterization and Feature Quality. - Quynh Nguyen 001; Pierre Bréchet; Marco Mondelli (CoRR, 2021)