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cs.LG2025
Modeling User Behavior from Adaptive Surveys with Supplemental Context
Aman Shukla, Daniel Patrick Scantlebury, Rishabh Kumar
Modeling user behavior is critical across many industries where understanding preferences, intent, or decisions informs personalization, targeting, and strategic outcomes. Surveys…
cs.LG2023
A Tale of Two Circuits: Grokking as Competition of Sparse and Dense Subnetworks
William Merrill, Nikolaos Tsilivis, Aman Shukla
Grokking is a phenomenon where a model trained on an algorithmic task first overfits but, then, after a large amount of additional training, undergoes a phase transition to general…