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Learning Macroscopic Brain Connectomes via Group-Sparse Factorization

Neural Information Processing Systems

A fundamental challenge in neuroscience is to estimate the structure of white matter connectivity inthehuman brainorconnectomes [14,29]. Connectomes aremadeupofneuronal axonbundles wrapped with myelin sheaths, called fascicles, and connect different areas ofthe brain.








a35fe7f7fe8217b4369a0af4244d1fca-Paper.pdf

Neural Information Processing Systems

Despite their promising performance, the learned knowledge remains implicit in these black-box neural structures, which hinders understanding the importance of input features and how they influencedecisions.


b607ba543ad05417b8507ee86c54fcb7-Paper.pdf

Neural Information Processing Systems

Inhuman principal--agent problems, seemingly inconsequential changes toanagent'sincentives often lead to surprising, counter-intuitive, and counter-productive behavior (21). Consequently, we must ask when thismisalignment is costly: when is it counter-productive to optimize for an incompleteproxy?