2 papers
cs.LG2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Ling Han, Hao Huang, Dustin Scheinost +2
Effective adaptation to distribution shifts in training data is pivotal for sustaining robustness in neural networks, especially when removing specific biases or outdated informati…
q-bio.NC2021
Data-driven mapping between functional connectomes using optimal transport
Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost
Functional connectomes derived from functional magnetic resonance imaging have long been used to understand the functional organization of the brain. Nevertheless, a connectome is…