| Learning Sparse Neural Networks through Regularization C Louizos, M Welling, DP Kingma Proceedings of the 6th International Conference on Learning Representations …, 2017 | 1386 | 2017 |
| Causal effect inference with deep latent-variable models C Louizos, U Shalit, JM Mooij, D Sontag, R Zemel, M Welling Advances in neural information processing systems 30, 2017 | 932 | 2017 |
| The variational fair autoencoder C Louizos, K Swersky, Y Li, M Welling, R Zemel Proceedings of the 4th International Conference on Learning Representations …, 2015 | 772 | 2015 |
| Up or down? adaptive rounding for post-training quantization M Nagel, RA Amjad, M Van Baalen, C Louizos, T Blankevoort International conference on machine learning, 7197-7206, 2020 | 615 | 2020 |
| Bayesian compression for deep learning C Louizos, K Ullrich, M Welling Advances in neural information processing systems 30, 2017 | 590 | 2017 |
| Multiplicative normalizing flows for variational bayesian neural networks C Louizos, M Welling International Conference on Machine Learning, 2218-2227, 2017 | 580 | 2017 |
| Structured and efficient variational deep learning with matrix gaussian posteriors C Louizos, M Welling International conference on machine learning, 1708-1716, 2016 | 323 | 2016 |
| Diva: Domain invariant variational autoencoders M Ilse, JM Tomczak, C Louizos, M Welling Medical Imaging with Deep Learning, 322-348, 2020 | 251 | 2020 |
| Relaxed quantization for discretized neural networks C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling Proceedings of the 7th International Conference on Learning Representations …, 2018 | 219 | 2018 |
| Bayesian bits: Unifying quantization and pruning M Van Baalen, C Louizos, M Nagel, RA Amjad, Y Wang, T Blankevoort, ... Advances in neural information processing systems 33, 5741-5752, 2020 | 146 | 2020 |
| Argument extraction from news, blogs, and social media T Goudas, C Louizos, G Petasis, V Karkaletsis Artificial Intelligence: Methods and Applications: 8th Hellenic Conference …, 2014 | 139 | 2014 |
| The functional neural process C Louizos, X Shi, K Schutte, M Welling Advances in Neural Information Processing Systems 32, 2019 | 85 | 2019 |
| Gradient Regularization for Quantization Robustness M Alizadeh, A Behboodi, M Van Baalen, C Louizos, T Blankevoort, ... arXiv preprint arXiv:2002.07520, 2020 | 66 | 2020 |
| Federated learning of user verification models without sharing embeddings H Hosseini, H Park, S Yun, C Louizos, J Soriaga, M Welling International Conference on Machine Learning, 4328-4336, 2021 | 31 | 2021 |
| Argument extraction from news, blogs, and the social web T Goudas, C Louizos, G Petasis, V Karkaletsis International Journal on Artificial Intelligence Tools 24 (05), 1540024, 2015 | 25 | 2015 |
| Quantization robust federated learning for efficient inference on heterogeneous devices K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel arXiv preprint arXiv:2206.10844, 2022 | 23 | 2022 |
| Federated mixture of experts M Reisser, C Louizos, E Gavves, M Welling arXiv preprint arXiv:2107.06724, 2021 | 23 | 2021 |
| Federated learning of user authentication models H Hosseini, S Yun, H Park, C Louizos, J Soriaga, M Welling arXiv preprint arXiv:2007.04618, 2020 | 22 | 2020 |
| Smart regularization of deep architectures C Louizos Master's thesis, University of Amsterdam, 2015 | 18 | 2015 |
| An expectation-maximization perspective on federated learning C Louizos, M Reisser, J Soriaga, M Welling arXiv preprint arXiv:2111.10192, 2021 | 17* | 2021 |
Max WellingCAIO CuspAI & Professor Machine Learning, University of Amsterdamuva.nl의 이메일 확인됨
