 Fisher Flow Matching for Generative Modeling over Discrete DataNeural Information Processing Systems (NeurIPS), 2024 |
 Stabilized Neural Differential Equations for Learning Dynamics with
Explicit ConstraintsNeural Information Processing Systems (NeurIPS), 2023 |
 Hyperbolic Deep Learning in Computer Vision: A SurveyInternational Journal of Computer Vision (IJCV), 2023 |
 Poincaré ResNetIEEE International Conference on Computer Vision (ICCV), 2023 |
 Flow Matching on General GeometriesInternational Conference on Learning Representations (ICLR), 2023 |
 Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic
manifoldsInternational Conference on Machine Learning (ICML), 2022 |
 Hyperbolic Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 |
 Hyperbolic VAE via Latent Gaussian DistributionsNeural Information Processing Systems (NeurIPS), 2022 |
 Matching Normalizing Flows and Probability Paths on ManifoldsInternational Conference on Machine Learning (ICML), 2022 |
 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical
Representation LearningNeural Information Processing Systems (NeurIPS), 2022 |
 Riemannian Score-Based Generative ModellingNeural Information Processing Systems (NeurIPS), 2022 |
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 Equivariant Manifold FlowsNeural Information Processing Systems (NeurIPS), 2021 |
 Hyperbolic Busemann Learning with Ideal PrototypesNeural Information Processing Systems (NeurIPS), 2021 |
 Riemannian Convex Potential MapsInternational Conference on Machine Learning (ICML), 2021 |
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 Flows for simultaneous manifold learning and density estimationNeural Information Processing Systems (NeurIPS), 2020 |
 Hyperbolic Graph Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 |
