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Phillip Lippe
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2020 – today
- 2024
- [j2]Julian Suk
, Pim de Haan, Phillip Lippe
, Christoph Brune
, Jelmer M. Wolterink
:
Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine 173: 108328 (2024) - [c14]Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane:
Towards the Reusability and Compositionality of Causal Representations. CLeaR 2024: 296-324 - [i17]Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane:
Towards the Reusability and Compositionality of Causal Representations. CoRR abs/2403.09830 (2024) - 2023
- [c13]Phillip Lippe
, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR 2023 - [c12]Adeel Pervez, Phillip Lippe
, Efstratios Gavves:
Differentiable Mathematical Programming for Object-Centric Representation Learning. ICLR 2023 - [c11]Adeel Pervez, Phillip Lippe
, Efstratios Gavves:
Scalable Subset Sampling with Neural Conditional Poisson Networks. ICLR 2023 - [c10]Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. NeurIPS 2023 - [c9]Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. NeurIPS 2023 - [c8]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. UAI 2023: 1263-1273 - [i16]Sindy Löwe, Phillip Lippe
, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. CoRR abs/2306.00600 (2023) - [i15]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR abs/2306.09643 (2023) - [i14]Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. CoRR abs/2308.05732 (2023) - [i13]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR abs/2312.10531 (2023) - 2022
- [j1]Sindy Löwe, Phillip Lippe
, Maja Rudolph, Max Welling:
Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. 2022 (2022) - [c7]Anna Langedijk, Verna Dankers, Phillip Lippe
, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova:
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. ACL (1) 2022: 8503-8520 - [c6]Phillip Lippe
, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. ICLR 2022 - [c5]Phillip Lippe
, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML 2022: 13557-13603 - [c4]Johann Brehmer, Pim de Haan, Phillip Lippe, Taco S. Cohen:
Weakly supervised causal representation learning. NeurIPS 2022 - [i12]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR abs/2202.03169 (2022) - [i11]Johann Brehmer, Pim de Haan, Phillip Lippe
, Taco Cohen:
Weakly supervised causal representation learning. CoRR abs/2203.16437 (2022) - [i10]Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling:
Complex-Valued Autoencoders for Object Discovery. CoRR abs/2204.02075 (2022) - [i9]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR abs/2206.06169 (2022) - [i8]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Differentiable Mathematical Programming for Object-Centric Representation Learning. CoRR abs/2210.02159 (2022) - [i7]Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune
, Jelmer M. Wolterink
:
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR abs/2212.05023 (2022) - 2021
- [c3]Phillip Lippe
, Efstratios Gavves:
Categorical Normalizing Flows via Continuous Transformations. ICLR 2021 - [c2]Julian Suk, Pim de Haan, Phillip Lippe
, Christoph Brune
, Jelmer M. Wolterink
:
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI 2021: 93-102 - [i6]Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova:
Meta-learning for fast cross-lingual adaptation in dependency parsing. CoRR abs/2104.04736 (2021) - [i5]Phillip Lippe, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. CoRR abs/2107.10483 (2021) - [i4]Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR abs/2109.04797 (2021) - 2020
- [c1]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Casey A. Fitzpatrick, Peter Bull, Greg Lipstein, Tony Nelli, Ron Zhu, Niklas Muennighoff, Riza Velioglu, Jewgeni Rose, Phillip Lippe
, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis, Vlad Sandulescu, Umut Ozertem, Patrick Pantel, Lucia Specia, Devi Parikh:
The Hateful Memes Challenge: Competition Report. NeurIPS (Competition and Demos) 2020: 344-360 - [i3]Phillip Lippe, Efstratios Gavves:
Categorical Normalizing Flows via Continuous Transformations. CoRR abs/2006.09790 (2020) - [i2]Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke:
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. CoRR abs/2008.03391 (2020) - [i1]Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis:
A Multimodal Framework for the Detection of Hateful Memes. CoRR abs/2012.12871 (2020)
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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