Kevin Course

According to our database, Kevin Course authored at least 4 papers between 2020 and 2025.

Collaborative distances:

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

2025

Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment.

Dai Li, Kevin Course, Wei Li, Hongwei Li, Jie Hua, Yiqi Chen, Zhao Zhu, Rui Jian, Xuan Cao, Bi Xue, Yu Shi, Jing Qian, Kai Ren, Matt Ma, Qunshu Zhang, Rui Li

CoRR, August, 2025

2023

State estimation of a physical system with unknown governing equations.

Kevin Course, Prasanth B. Nair

Nat., 2023

Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs.

Kevin Course, Prasanth B. Nair

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Weak Form Generalized Hamiltonian Learning.

Kevin Course, Trefor W. Evans, Prasanth B. Nair

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020