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reparametrization invariance

1 paper across 1 session

Poster Session 2

1 paper
Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
VIKING: Deep variational inference with stochastic projections
#501 · Samuel Matthiesen, Hrittik Roy, Nicholas Krämer, Yevgen Zainchkovskyy, Stas Syrota, Alejandro Valverde Mahou, Carl Henrik Ek, Søren Hauberg

We develop a highly scalable reparametrization invariant variational training scheme for deep learning.