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2020 – today
- 2024
[c2]Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy:
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR 2024- [i4]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, Lev Proleev, Jilin Chen, Sebastian Farquhar, Lewis Ho, Iason Gabriel, Allan Dafoe, William Isaac:
Holistic Safety and Responsibility Evaluations of Advanced AI Models. CoRR abs/2404.14068 (2024) - 2023
- [j1]Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy:
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. Trans. Mach. Learn. Res. 2023 (2023) - [i3]Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy:
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR abs/2302.07854 (2023) - [i2]Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy:
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR abs/2309.17249 (2023) - 2022
- [c1]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL 2022: 375-396 - [i1]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR abs/2204.03969 (2022)
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