activity
20182025
most citedDivergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model

3 citations · 6 across the 5 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2019

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning

Jianwen Xie, Zilong Zheng, Xiaolin Fang +2

This paper studies the problem of learning the conditional distribution of a high-dimensional output given an input, where the output and input may belong to two different domains,…

stat.ML2019★ 3 cited

Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model

Tian Han, Erik Nijkamp, Xiaolin Fang +3

This paper proposes the divergence triangle as a framework for joint training of generator model, energy-based model and inference model. The divergence triangle is a compact and s…