| A multimodal framework for the detection of hateful memes P Lippe, N Holla, S Chandra, S Rajamanickam, G Antoniou, E Shutova, ... arXiv preprint arXiv:2012.12871, 2020 | 28 | 2020 |
| The hateful memes challenge: Competition report D Kiela, H Firooz, A Mohan, V Goswami, A Singh, CA Fitzpatrick, P Bull, ... NeurIPS 2020 Competition and Demonstration Track, 344-360, 2021 | 23 | 2021 |
| CITRIS: Causal Identifiability from Temporal Intervened Sequences P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 16 | 2022 |
| Categorical normalizing flows via continuous transformations P Lippe, E Gavves International Conference on Learning Representations, 2021 | 16 | 2021 |
| Efficient Neural Causal Discovery without Acyclicity Constraints P Lippe, T Cohen, E Gavves International Conference on Learning Representations, 2022 | 11 | 2022 |
| Weakly Supervised Causal Representation Learning J Brehmer, P De Haan, P Lippe, T Cohen 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 10 | 2022 |
| Mesh convolutional neural networks for wall shear stress estimation in 3D artery models J Suk, P Haan, P Lippe, C Brune, JM Wolterink Statistical Atlases and Computational Models of the Heart. Multi-Disease …, 2022 | 9 | 2022 |
| Complex-valued autoencoders for object discovery S Löwe, P Lippe, M Rudolph, M Welling arXiv preprint arXiv:2204.02075, 2022 | 6 | 2022 |
| Diversifying task-oriented dialogue response generation with prototype guided paraphrasing P Lippe, P Ren, H Haned, B Voorn, M de Rijke eCom 2022: The SIGIR 2022 SIGIR Workshop on eCommerce, 2020 | 6 | 2020 |
| iCITRIS: Causal representation learning for instantaneous temporal effects P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves arXiv preprint arXiv:2206.06169, 2022 | 4 | 2022 |
| Meta-learning for fast cross-lingual adaptation in dependency parsing A Langedijk, V Dankers, P Lippe, S Bos, BC Guevara, H Yannakoudakis, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021 | 3 | 2021 |
| Equivariant graph neural networks as surrogate for computational fluid dynamics in 3D artery models J Suk, P de Haan, P Lippe, C Brune, JM Wolterink Proceedings of the Fourth Workshop on Machine Learning and the Physical …, 2021 | 2 | 2021 |
| Intervention Design for Causal Representation Learning P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves UAI 2022 Workshop on Causal Representation Learning, 2022 | 1 | 2022 |
| Mesh Neural Networks for SE (3)-Equivariant Hemodynamics Estimation on the Artery Wall J Suk, P de Haan, P Lippe, C Brune, JM Wolterink arXiv preprint arXiv:2212.05023, 2022 | | 2022 |
| Differentiable Mathematical Programming for Object-Centric Representation Learning A Pervez, P Lippe, E Gavves arXiv preprint arXiv:2210.02159, 2022 | | 2022 |
| -equivariant hemodynamics estimation on arterial surface meshes using graph convolutional networks J Suk, P De Haan, P Lippe, C Brune, JM Wolterink Geometric Deep Learning in Medical Image Analysis (Extended abstracts), 2022 | | 2022 |
| Causal Representation Learning This paper P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves | | |
| We identify causal variables and their P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves | | |
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
