Andi Han
Orcid: 0000-0003-4655-655X
According to our database1,
Andi Han
authored at least 26 papers
between 2020 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., April, 2024
Int. J. Mach. Learn. Cybern., April, 2024
Mach. Learn., April, 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks.
CoRR, 2024
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting.
CoRR, 2024
2023
SIAM J. Optim., September, 2023
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction.
Trans. Mach. Learn. Res., 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges.
CoRR, 2023
CoRR, 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient.
CoRR, 2020
Variance reduction for Riemannian non-convex optimization with batch size adaptation.
CoRR, 2020