Clifford Group Equivariant Diffusion Models for 3D Molecular Generation.
CoRR, April, 2025
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks.
CoRR, 2024
Clifford-Steerable Convolutional Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Rolling Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Clifford Group Equivariant Simplicial Message Passing Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
On the Effectiveness of Hybrid Mutual Information Estimation.
CoRR, 2023
Clifford Group Equivariant Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Geometric Clifford Algebra Networks.
Proceedings of the International Conference on Machine Learning, 2023
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study.
CoRR, 2022
Detecting dispersed radio transients in real time using convolutional neural networks.
Astron. Comput., 2022
Self-Supervised Inference in State-Space Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Self-Supervised Hybrid Inference in State-Space Models.
CoRR, 2021
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications.
CoRR, 2019