Learning Generative Embeddings using an Optimal Subsampling Policy for Tensor Sketching. - Chandrajit Bajaj; Taemin Heo; Rochan Avlur (CoRR, 2022)

Sample Efficient Learning of Factored Embeddings of Tensor Fields. - Taemin Heo; Chandrajit Bajaj (AISTATS, 2024)

Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storage. - Taemin Heo; Ruaridh Macdonald (CoRR, 2024)

A decomposition algorithm using multiple linear approximations to solve integrated design and scheduling optimization frameworks - case study of nuclear based co-production of electricity and hydrogen. - Taemin Heo; Dharik S. Mallapragada; Ruaridh Macdonald (Comput. Chem. Eng., 2025)