| 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 | 354 | 2016 |
| The Loss Surface of Deep and Wide Neural Networks Q Nguyen, M Hein International Conference on Machine Learning. ICML 2017, 2017 | 155 | 2017 |
| Optimization Landscape and Expressivity of Deep CNNs Q Nguyen, M Hein International Conference on Machine Learning. ICML 2018, 2018 | 60* | 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 | 48 | 2015 |
| 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 | 24 | 2016 |
| 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 | 23 | 2019 |
| 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 |
| On Connected Sublevel Sets in Deep Learning Q Nguyen International Conference on Machine Learning. ICML 2019, 2019 | 17 | 2019 |
| 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 | 17 | 2018 |
| Nonlinear Spectral Methods for Nonconvex Optimization with Global Optimality QN Nguyen, A Gautier, M Hein NIPS Workshop OPT, 2016 | 1 | 2016 |
| Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology Q Nguyen, M Mondelli arXiv preprint arXiv:2002.07867, 2020 | | 2020 |
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
