 Graph Filtration LearningInternational Conference on Machine Learning (ICML), 2019 |
 Learning Video Representations from Correspondence ProposalsComputer Vision and Pattern Recognition (CVPR), 2019 |
 Automatic Posterior Transformation for Likelihood-Free InferenceInternational Conference on Machine Learning (ICML), 2019 |
 Kernel Mean Matching for Content Addressability of GANsInternational Conference on Machine Learning (ICML), 2019 |
 Universal Invariant and Equivariant Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 |
 Deep Closest Point: Learning Representations for Point Cloud
RegistrationIEEE International Conference on Computer Vision (ICCV), 2019 Yue Wang Justin Solomon |
 Graph Matching Networks for Learning the Similarity of Graph Structured
ObjectsInternational Conference on Machine Learning (ICML), 2019 |
 Deep Eikonal SolversScale Space and Variational Methods in Computer Vision (SSVM), 2019 |
 On Deep Set Learning and the Choice of AggregationsInternational Conference on Artificial Neural Networks (ICANN), 2019 |
 Differentiable Scene GraphsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 |
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 Gauge Equivariant Convolutional Networks and the Icosahedral CNNInternational Conference on Machine Learning (ICML), 2019 |
 Particle Flow Bayes' RuleInternational Conference on Machine Learning (ICML), 2019 |
 Feature-Critic Networks for Heterogeneous Domain GeneralizationInternational Conference on Machine Learning (ICML), 2019 |
