David Ruhe - RankMe

19 papers A* 6Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD. CoRR Emiel Hoogeboom, David Ruhe, Jonathan Heek, Thomas Mensink, Tim Salimans
2025	J	`jnl`	Clifford Group Equivariant Diffusion Models for 3D Molecular Generation. CoRR Cong Liu, Sharvaree Vadgama, David Ruhe, Erik J. Bekkers, Patrick Forré
2024	A*	`conf`	Clifford Group Equivariant Simplicial Message Passing Networks. ICLR Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
2024	J	`jnl`	Clifford Group Equivariant Simplicial Message Passing Networks. CoRR Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
2024	A*	`conf`	Clifford-Steerable Convolutional Neural Networks. ICML Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
2024	J	`jnl`	Clifford-Steerable Convolutional Neural Networks. CoRR Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré
2024	J	`jnl`	Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks. CoRR Cong Liu, David Ruhe, Patrick Forré
2024	A*	`conf`	Rolling Diffusion Models. ICML David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom
2024	J	`jnl`	Rolling Diffusion Models. CoRR David Ruhe, Jonathan Heek, Tim Salimans, Emiel Hoogeboom
2023	A*	`conf`	Clifford Group Equivariant Neural Networks. NeurIPS David Ruhe, Johannes Brandstetter, Patrick Forré
2023	J	`jnl`	Clifford Group Equivariant Neural Networks. CoRR David Ruhe, Johannes Brandstetter, Patrick Forré
2023	A*	`conf`	Geometric Clifford Algebra Networks. ICML David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
2023	J	`jnl`	Geometric Clifford Algebra Networks. CoRR David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
2023	J	`jnl`	On the Effectiveness of Hybrid Mutual Information Estimation. CoRR Marco Federici, David Ruhe, Patrick Forré
2022	J	`jnl`	Detecting dispersed radio transients in real time using convolutional neural networks. Astron. Comput. David Ruhe, Mark Kuiack, Antonia Rowlinson, Ralph A. M. J. Wijers, Patrick Forré
2022	J	`jnl`	Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study. CoRR David Ruhe, Kaze Wong, Miles D. Cranmer, Patrick Forré
2022	A*	`conf`	Self-Supervised Inference in State-Space Models. ICLR David Ruhe, Patrick Forré
2021	J	`jnl`	Self-Supervised Hybrid Inference in State-Space Models. CoRR David Ruhe, Patrick Forré
2019	J	`jnl`	Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers