Phillip Lippe

Orcid: 0000-0002-3639-6938

According to our database1, Phillip Lippe authored at least 20 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
How to Train Neural Field Representations: A Comprehensive Study and Benchmark.
CoRR, 2023

BISCUIT: Causal Representation Learning from Binary Interactions.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Rotating Features for Object Discovery.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Subset Sampling with Neural Conditional Poisson Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Differentiable Mathematical Programming for Object-Centric Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Complex-Valued Autoencoders for Object Discovery.
Trans. Mach. Learn. Res., 2022

Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall.
CoRR, 2022

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects.
CoRR, 2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.
CoRR, 2022

Weakly supervised causal representation learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CITRIS: Causal Identifiability from Temporal Intervened Sequences.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Neural Causal Discovery without Acyclicity Constraints.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Categorical Normalizing Flows via Continuous Transformations.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A Multimodal Framework for the Detection of Hateful Memes.
CoRR, 2020

Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing.
CoRR, 2020



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