Eric Qu

According to our database, Eric Qu authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Autoencoding Hyperbolic Representation for Adversarial Generation.

Eric Qu, Dongmian Zou

Trans. Mach. Learn. Res., 2024

The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains.

Eric Qu, Aditi S. Krishnapriyan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hyperbolic Kernel Convolution: A Generic Framework.

Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

CNN Kernels Can Be the Best Shapelets.

Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Hyperbolic Convolution via Kernel Point Aggregation.

Eric Qu, Dongmian Zou

CoRR, 2023

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer.

Eric Qu, Xufang Luo, Dongsheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Hyperbolic Neural Networks for Molecular Generation.

Eric Qu, Dongmian Zou

CoRR, 2022