Nguyen, Quynh

9 publications

ICML 2021 On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Quynh Nguyen

ICML 2021 Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks Quynh Nguyen, Marco Mondelli, Guido F Montufar

ICML 2019 On Connected Sublevel Sets in Deep Learning Quynh Nguyen

ICLR 2019 On the Loss Landscape of a Class of Deep Neural Networks with No Bad Local Valleys Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein

ICML 2018 Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein

ICML 2018 Optimization Landscape and Expressivity of Deep CNNs Quynh Nguyen, Matthias Hein

ICML 2017 The Loss Surface of Deep and Wide Neural Networks Quynh Nguyen, Matthias Hein

CVPR 2016 Latent Embeddings for Zero-Shot Classification Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele

CVPR 2015 A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching Quynh Nguyen, Antoine Gautier, Matthias Hein