David Ruhe

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Diffusion Model

Message Passing

Bayesian Analysis

Top Venues

Astron. Comput.

Publications

Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
Clifford Group Equivariant Simplicial Message Passing Networks. ICLR (2024)
Cong Liu, David Ruhe, Patrick Forré
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks. CoRR (2024)
David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom
Rolling Diffusion Models. CoRR (2024)
Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
Clifford-Steerable Convolutional Neural Networks. CoRR (2024)
Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
Clifford Group Equivariant Simplicial Message Passing Networks. CoRR (2024)
David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
Geometric Clifford Algebra Networks. CoRR (2023)
David Ruhe, Johannes Brandstetter, Patrick Forré
Clifford Group Equivariant Neural Networks. NeurIPS (2023)
David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
Geometric Clifford Algebra Networks. ICML (2023)
David Ruhe, Johannes Brandstetter, Patrick Forré
Clifford Group Equivariant Neural Networks. CoRR (2023)
Marco Federici, David Ruhe, Patrick Forré
On the Effectiveness of Hybrid Mutual Information Estimation. CoRR (2023)
David Ruhe, Mark Kuiack, Antonia Rowlinson, Ralph A. M. J. Wijers, Patrick Forré
Detecting dispersed radio transients in real time using convolutional neural networks. Astron. Comput. 38 (2022)
David Ruhe, Patrick Forré
Self-Supervised Inference in State-Space Models. ICLR (2022)
David Ruhe, Kaze Wong, Miles Cranmer, Patrick Forré
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study. CoRR (2022)
David Ruhe, Patrick Forré
Self-Supervised Hybrid Inference in State-Space Models. CoRR (2021)
David Ruhe, Giovanni Ciná, Michele Tonutti, Daan de Bruin, Paul W. G. Elbers
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR (2019)