Disability prediction in multiple sclerosis using performance outcome measures and demographic data. - Subhrajit Roy; Diana Mincu; Lev Proleev; Negar Rostamzadeh; Chintan Ghate; Natalie Harris; Christina Chen; Jessica Schrouff; Nenad Tomasev; Fletcher Lee Hartsell; Katherine A. Heller (CHIL, 2022)

Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. - Alexander Norcliffe; Lev Proleev; Diana Mincu; Fletcher Lee Hartsell; Katherine A. Heller; Subhrajit Roy (CoRR, 2023)

Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. - Alexander Luke Ian Norcliffe; Lev Proleev; Diana Mincu; Fletcher Lee Hartsell; Katherine A. Heller; Subhrajit Roy (Trans. Mach. Learn. Res., 2023)

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. - Han Zhou 010; Xingchen Wan; Lev Proleev; Diana Mincu; Jilin Chen; Katherine A. Heller; Subhrajit Roy (ICLR, 2024)

Holistic Safety and Responsibility Evaluations of Advanced AI Models. - Laura Weidinger; Joslyn Barnhart; Jenny Brennan; Christina Butterfield; Susie Young; Will Hawkins; Lisa Anne Hendricks; Ramona Comanescu; Oscar Chang; Mikel Rodriguez; Jennifer Beroshi; Dawn Bloxwich; et al. (CoRR, 2024)