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Phillip Lippe
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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
252020
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
202021
Categorical normalizing flows via continuous transformations
P Lippe, E Gavves
International Conference on Learning Representations, 2021
152021
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
132022
Efficient Neural Causal Discovery without Acyclicity Constraints
P Lippe, T Cohen, E Gavves
International Conference on Learning Representations, 2022
92022
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
82021
Complex-Valued Autoencoders for Object Discovery
S Löwe, P Lippe, M Rudolph, M Welling
arXiv preprint arXiv:2204.02075, 2022
62022
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
62020
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
32022
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
Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), 2021
32021
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
22022
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
22021
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
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
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
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Articles 1–17