| 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 | 143 | 2022 |
| 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 | 111 | 2022 |
| 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 | 83 | 2020 |
| Efficient Neural Causal Discovery without Acyclicity Constraints P Lippe, T Cohen, E Gavves International Conference on Learning Representations, 2022 | 75 | 2022 |
| 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 | 74 | 2021 |
| PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers P Lippe, BS Veeling, P Perdikaris, RE Turner, J Brandstetter Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 71 | 2023 |
| Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves The Eleventh International Conference on Learning Representations, 2023 | 61* | 2023 |
| Mesh convolutional neural networks for wall shear stress estimation in 3D artery models J Suk, P Haan, P Lippe, C Brune, JM Wolterink International Workshop on Statistical Atlases and Computational Models of …, 2021 | 48* | 2021 |
| Categorical normalizing flows via continuous transformations P Lippe, E Gavves International Conference on Learning Representations, 2021 | 44 | 2021 |
| Complex-valued autoencoders for object discovery S Löwe, P Lippe, M Rudolph, M Welling Transactions on Machine Learning Research, 2022 | 38 | 2022 |
| BISCUIT: Causal Representation Learning from Binary Interactions P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves The 39th Conference on Uncertainty in Artificial Intelligence, 2023 | 29 | 2023 |
| UvA Deep Learning Tutorials P Lippe https://uvadlc-notebooks.readthedocs.io/en/latest/, 2022 | 25* | 2022 |
| Rotating Features for Object Discovery S Löwe, P Lippe, F Locatello, M Welling Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 17 | 2023 |
| 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 | 14 | 2021 |
| 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 | 13* | 2020 |
| 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 | 11 | 2022 |
| Differentiable Mathematical Programming for Object-Centric Representation Learning A Pervez, P Lippe, E Gavves The Eleventh International Conference on Learning Representations, 2023 | 7 | 2023 |
| How to Train Neural Field Representations: A Comprehensive Study and Benchmark S Papa, R Valperga, D Knigge, M Kofinas, P Lippe, JJ Sonke, E Gavves Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 6 | 2024 |
| Towards the reusability and compositionality of causal representations D Talon, P Lippe, S James, A Del Bue, S Magliacane 3rd Conference on Causal Learning and Reasoning (CLeaR), 2024 | 5 | 2024 |
| Scalable Subset Sampling with Neural Conditional Poisson Networks A Pervez, P Lippe, E Gavves The Eleventh International Conference on Learning Representations, 2023 | 4 | 2023 |
Efstratios GavvesAssociate Professor at University of Amsterdamuva.nl의 이메일 확인됨