Weak Form Generalized Hamiltonian Learning. - Kevin Course; Trefor W. Evans; Prasanth B. Nair (NeurIPS, 2020)

Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs. - Kevin Course; Prasanth B. Nair (NeurIPS, 2023)

State estimation of a physical system with unknown governing equations. - Kevin Course; Prasanth B. Nair (Nat., 2023)

Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment. - Dai Li; Kevin Course; Wei Li; Hongwei Li; Jie Hua 009; Yiqi Chen; Zhao Zhu; Rui Jian; Xuan Cao; Bi Xue; Yu Shi; Jing Qian; et al. (CoRR, 2025)