| 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 | 789 | 2016 |
| The Loss Surface of Deep and Wide Neural Networks Q Nguyen, M Hein International Conference on Machine Learning. ICML 2017, 2017 | 282 | 2017 |
| Optimization Landscape and Expressivity of Deep CNNs Q Nguyen, M Hein International Conference on Machine Learning. ICML 2018, 2018 | 135* | 2018 |
| On Connected Sublevel Sets in Deep Learning Q Nguyen International Conference on Machine Learning. ICML 2019, 2019 | 91 | 2019 |
| 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 | 79 | 2019 |
| 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 | 75 | 2015 |
| 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 | 53 | 2020 |
| Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks Q Nguyen, M Mondelli, G Montufar International Conference on Machine Learning. ICML 2021, 2020 | 52 | 2020 |
| 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 | 48 | 2018 |
| On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Q Nguyen International Conference on Machine Learning. ICML 2021, 2021 | 42 | 2021 |
| 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 | 38 | 2016 |
| 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 | 27 | 2016 |
| When Are Solutions Connected in Deep Networks? Q Nguyen, P Brechet, M Mondelli Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 8* | 2021 |
| A Note on Connectivity of Sublevel Sets in Deep Learning Q Nguyen Technical Note, 2021 | 6 | 2021 |
| TMEM106B regulates microglial proliferation and survival in response to demyelination T Zhang, W Pang, T Feng, J Guo, K Wu, M Nunez Santos, A Arthanarisami, ... Science Advances 9 (18), eadd2676, 2023 | 5 | 2023 |
| Nonlinear Spectral Methods for Nonconvex Optimization with Global Optimality QN Nguyen, A Gautier, M Hein NIPS Workshop on Optimization, 2016 | 1 | 2016 |
| Adaptive platform trials: the impact of common controls on type one error and power Q Nguyen, K Hees, B Hofner Journal of Biopharmaceutical Statistics, 1-18, 2023 | | 2023 |
| The TMEM106B T186S coding variant increases neurite arborization and synaptic density in primary hippocampal neurons Q Nguyen, CA Wood, PJ Kim, JL Jankowsky Frontiers in Neuroscience 17, 2023 | | 2023 |
| A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks Q Nguyen Technical Note, 2021 | | 2021 |
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
