David Ruhe

According to our database, David Ruhe authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks.

Cong Liu, David Ruhe, Patrick Forré

CoRR, 2024

Clifford-Steerable Convolutional Neural Networks.

Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rolling Diffusion Models.

David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Clifford Group Equivariant Simplicial Message Passing Networks.

Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Effectiveness of Hybrid Mutual Information Estimation.

Marco Federici, David Ruhe, Patrick Forré

CoRR, 2023

Clifford Group Equivariant Neural Networks.

David Ruhe, Johannes Brandstetter, Patrick Forré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Geometric Clifford Algebra Networks.

David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter

Proceedings of the International Conference on Machine Learning, 2023

2022

Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study.

David Ruhe, Kaze Wong, Miles D. Cranmer, Patrick Forré

CoRR, 2022

Detecting dispersed radio transients in real time using convolutional neural networks.

David Ruhe, Mark Kuiack, Antonia Rowlinson, Ralph A. M. J. Wijers, Patrick Forré

Astron. Comput., 2022

Self-Supervised Inference in State-Space Models.

David Ruhe, Patrick Forré

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Self-Supervised Hybrid Inference in State-Space Models.

David Ruhe, Patrick Forré

CoRR, 2021

2019

Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications.

David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers

CoRR, 2019