| 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 | 478 | 2016 |
| The Loss Surface of Deep and Wide Neural Networks Q Nguyen, M Hein International Conference on Machine Learning. ICML 2017, 2017 | 199 | 2017 |
| 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 | 55 | 2015 |
| 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 | 43 | 2019 |
| On Connected Sublevel Sets in Deep Learning Q Nguyen International Conference on Machine Learning. ICML 2019, 2019 | 39 | 2019 |
| 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 | 29 | 2016 |
| 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 | 24 | 2018 |
| 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 | 18 | 2016 |
| 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 | 4 | 2020 |
| 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 | 2 | 2020 |
| On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Q Nguyen arXiv preprint arXiv:2101.09612, 2021 | 1 | 2021 |
| A note on connectivity of sublevel sets in deep learning Q Nguyen arXiv preprint arXiv:2101.08576, 2021 | 1 | 2021 |
| Nonlinear Spectral Methods for Nonconvex Optimization with Global Optimality QN Nguyen, A Gautier, M Hein NIPS Workshop on Optimization, 2016 | 1 | 2016 |
| 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 |
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
