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2020 – today
- 2024
[c6]Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré:
Clifford Group Equivariant Simplicial Message Passing Networks. ICLR 2024- [c5]David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom:
Rolling Diffusion Models. ICML 2024 - [c4]Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré:
Clifford-Steerable Convolutional Neural Networks. ICML 2024 - [i10]David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom:
Rolling Diffusion Models. CoRR abs/2402.09470 (2024) - [i9]Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré:
Clifford Group Equivariant Simplicial Message Passing Networks. CoRR abs/2402.10011 (2024) - [i8]Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré:
Clifford-Steerable Convolutional Neural Networks. CoRR abs/2402.14730 (2024) - [i7]Cong Liu, David Ruhe, Patrick Forré:
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks. CoRR abs/2406.04052 (2024) - 2023
- [c3]David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter:
Geometric Clifford Algebra Networks. ICML 2023: 29306-29337 - [c2]David Ruhe, Johannes Brandstetter, Patrick Forré:
Clifford Group Equivariant Neural Networks. NeurIPS 2023 - [i6]David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter:
Geometric Clifford Algebra Networks. CoRR abs/2302.06594 (2023) - [i5]David Ruhe, Johannes Brandstetter, Patrick Forré:
Clifford Group Equivariant Neural Networks. CoRR abs/2305.11141 (2023) - [i4]Marco Federici, David Ruhe, Patrick Forré:
On the Effectiveness of Hybrid Mutual Information Estimation. CoRR abs/2306.00608 (2023) - 2022
- [j1]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: 100512 (2022) - [c1]David Ruhe, Patrick Forré:
Self-Supervised Inference in State-Space Models. ICLR 2022 - [i3]David Ruhe, Kaze Wong, Miles D. Cranmer, Patrick Forré:
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study. CoRR abs/2211.09008 (2022) - 2021
- [i2]David Ruhe, Patrick Forré:
Self-Supervised Hybrid Inference in State-Space Models. CoRR abs/2107.13349 (2021)
2010 – 2019
- 2019
- [i1]David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers:
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR abs/1906.08619 (2019)
Coauthor Index
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