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Polina Karpikova

2 accepted papers

2023

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

NeurIPS 2023poster

Over the last several years, there has been significant progress in developing neural solvers for the Schrödinger Bridge (SB) problem and applying them to generative modelling. This new research field is justifiably fruitful as it is interconnected with the practically well-performing diffusion mode…

2023

FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits

CVPR 2023poster

Generative DNNs are a powerful tool for image synthesis, but they are limited by their computational load. On the other hand, given a trained model and a task, e.g. faces generation within a range of characteristics, the output image quality will be unevenly distributed among images with different c…

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