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Phillip Lippe
Phillip Lippe
Dirección de correo verificada de uva.nl - Página principal
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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
902022
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
832022
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
662020
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
592021
Efficient Neural Causal Discovery without Acyclicity Constraints
P Lippe, T Cohen, E Gavves
International Conference on Learning Representations, 2022
522022
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
43*2023
Categorical normalizing flows via continuous transformations
P Lippe, E Gavves
International Conference on Learning Representations, 2021
382021
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
35*2021
Complex-valued autoencoders for object discovery
S Löwe, P Lippe, M Rudolph, M Welling
Transactions on Machine Learning Research, 2022
272022
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
242023
UvA Deep Learning Tutorials
P Lippe
https://uvadlc-notebooks.readthedocs.io/en/latest/, 2022
18*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
152023
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
102021
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
92022
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
82020
Rotating Features for Object Discovery
S Löwe, P Lippe, F Locatello, M Welling
Thirty-seventh Conference on Neural Information Processing Systems, 2023
72023
Differentiable Mathematical Programming for Object-Centric Representation Learning
A Pervez, P Lippe, E Gavves
The Eleventh International Conference on Learning Representations, 2023
62023
Scalable Subset Sampling with Neural Conditional Poisson Networks
A Pervez, P Lippe, E Gavves
The Eleventh International Conference on Learning Representations, 2023
32023
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
12024
Efficient neural causal discovery
P Lippe, TS Cohen, E Gavves
US Patent App. 18/551,844, 2024
2024
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