Subrat Prasad Panda
@subratpp
Working on Trustworthy Reinforcement Learning PhD CS Student at NTU Singapore M.Tech@ISIK | B.Tech@NIT S
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🚨 Excited to share our latest work, "Vanilla Gradient Descent for Oblique Decision Trees," to be presented at ECAI 2024 in Spain! We introduce DTSemNet—a novel, invertible encoding of oblique DTs as NNs that allows training DTs with standard gradient descent.
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