2 citations · 3 across the 9 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2024
On Robust Cross Domain Alignment
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
The Gromov-Wasserstein (GW) distance is an effective measure of alignment between distributions supported on distinct ambient spaces. Calculating essentially the mutual departure f…
stat.ML2023
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
Variational Autoencoders (VAEs) have been a pioneering force in the realm of deep generative models. Amongst its legions of progenies, Wasserstein Autoencoders (WAEs) stand out in…