D-Flow: Differentiating through Flows for Controlled Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
Proceedings of the International Conference on Machine Learning, 2023
Flow Matching for Generative Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Matching Normalizing Flows and Probability Paths on Manifolds.
Proceedings of the International Conference on Machine Learning, 2022
Frame Averaging for Invariant and Equivariant Network Design.
Proceedings of the Tenth International Conference on Learning Representations, 2022
From Graph Low-Rank Global Attention to 2-FWL Approximation.
CoRR, 2020
Provably Powerful Graph Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Invariant and Equivariant Graph Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
Surface Networks via General Covers.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Multi-chart generative surface modeling.
ACM Trans. Graph., 2018