Understanding and Mitigating Exploding Inverses in Invertible Neural Networks

Jens Behrmann, Paul Vicol, Kuan-Chieh Wang +2

Invertible neural networks (INNs) have been used to design generative models, implement memory-saving gradient computation, and solve inverse problems. In this work, we show that c…