Ruikang Ouyang

According to our database, Ruikang Ouyang authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Stochastic Interpolants in Hilbert Spaces.

James Boran Yu, Ruikang Ouyang, Julien Horwood, José Miguel Hernández-Lobato

CoRR, February, 2026

A Diffusive Classification Loss for Learning Energy-based Generative Models.

Ruikang Ouyang, Louis Grenioux, José Miguel Hernández-Lobato

CoRR, January, 2026

BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching.

Ruikang Ouyang, Bo Qiang, José Miguel Hernández-Lobato

Trans. Mach. Learn. Res., 2026

2025

No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers.

Jiajun He, Yuanqi Du, Francisco Vargas, Dinghuai Zhang, Shreyas Padhy, Ruikang Ouyang, Carla P. Gomes, José Miguel Hernández-Lobato

CoRR, February, 2025

Progressive Tempering Sampler with Diffusion.

Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

BEnDEM:A Boltzmann Sampler Based on Bootstrapped Denoising Energy Matching.

Ruikang Ouyang, Bo Qiang, José Miguel Hernández-Lobato

CoRR, 2024

2023

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders.

Ruikang Ouyang, Andrew Elliott, Stratis Limnios, Mihai Cucuringu, Gesine Reinert

Proceedings of the Complex Networks & Their Applications XII, 2023