Phillip Lippe
Universiteit van Amsterdam
H-index: 10
Europe-Netherlands
Top articles of Phillip Lippe
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Mesh neural networks for SE (3)-equivariant hemodynamics estimation on the artery wall | arXiv preprint arXiv:2212.05023 | Julian Suk Pim de Haan Phillip Lippe Christoph Brune Jelmer M Wolterink | 2022/12/9 |
How to Train Neural Field Representations: A Comprehensive Study and Benchmark | Samuele Papa Riccardo Valperga David Knigge Miltiadis Kofinas Phillip Lippe | 2024/3/25 | |
Towards the reusability and compositionality of causal representations | Davide Talon Phillip Lippe Stuart James Alessio Del Bue Sara Magliacane | 2024/3/14 | |
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers | Advances in Neural Information Processing Systems | Phillip Lippe Bas Veeling Paris Perdikaris Richard Turner Johannes Brandstetter | 2024/2/13 |
BISCUIT: Causal Representation Learning from Binary Interactions | Phillip Lippe Sara Magliacane Sindy Löwe Yuki M Asano Taco Cohen | 2023/7/2 | |
Rotating Features for Object Discovery | Advances in Neural Information Processing Systems | Sindy Löwe Phillip Lippe Francesco Locatello Max Welling | 2024/2/13 |
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems | arXiv preprint arXiv:2206.06169 | Phillip Lippe Sara Magliacane Sindy Löwe Yuki M Asano Taco Cohen | 2022/6/13 |
Hierarchical Causal Representation Learning | Angelos Nalmpantis Phillip Lippe Sara Magliacane | 2023/10/27 | |
Scalable Subset Sampling with Neural Conditional Poisson Networks | Adeel Pervez Phillip Lippe Efstratios Gavves | 2023 | |
Contrastive object representation learning from temporal data | 2023/9/28 | ||
Differentiable Mathematical Programming for Object-Centric Representation Learning | Adeel Pervez Phillip Lippe Efstratios Gavves | 2023 | |
Complex-valued autoencoders for object discovery | arXiv preprint arXiv:2204.02075 | Sindy Löwe Phillip Lippe Maja Rudolph Max Welling | 2022/4/5 |
Weakly Supervised Causal Representation Learning | Johann Brehmer* Pim De Haan* Phillip Lippe Taco Cohen | 2022/3/30 | |
CITRIS: Causal Identifiability from Temporal Intervened Sequences | Phillip Lippe Sara Magliacane Sindy Löwe Yuki M Asano Taco Cohen | 2022/6/28 | |
Efficient Neural Causal Discovery without Acyclicity Constraints | arXiv preprint arXiv:2107.10483 | Phillip Lippe Taco Cohen Efstratios Gavves | 2021/7/22 |
Intervention Design for Causal Representation Learning | Phillip Lippe Sara Magliacane Sindy Löwe Yuki M Asano Taco Cohen | 2022/7/9 | |
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models | Julian Suk Pim de Haan Phillip Lippe Christoph Brune Jelmer M Wolterink | 2021/9/27 | |
The hateful memes challenge: Competition report | Douwe Kiela Hamed Firooz Aravind Mohan Vedanuj Goswami Amanpreet Singh | 2021/8/7 | |
Meta-learning for fast cross-lingual adaptation in dependency parsing | Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics | Anna Langedijk Verna Dankers Phillip Lippe Sander Bos Bryan Cardenas Guevara | 2021/4/10 |
Categorical normalizing flows via continuous transformations | Phillip Lippe Efstratios Gavves | 2021/1/12 |
Co-Authors
