Thereason thatthemethod MSO in"Efficient multi-objectivemolecular optimization inacontinuous3 latent space" achieved ahigher penalized logP with unlimited property evaluations than ours (26.1 vs 15.18) isdue4 to different experimental settings. With a8 largerLmax, the best penalized logP score can be significantly increased. Wehavestarted11 running the experiments on GuacaMol as suggested. We will fix these two figures in the final version. All generated molecules in the appendix have been24 double-checked by both RDkit and human experts.

Somemodelcompression methods have been successfully applied to image classification and detection or language models, but there has been very little work compressing generative adversarial networks(GANs) performing complextasks.

ItisshownthatQKFormer achieves significantly superior performance over existing state-of-the-art SNN models on various mainstream datasets.

In appendix, we Reward OptimizationWepropose .

In this work, we propose Glow-TTS, a flow-based generativemodel for parallel TTS that does not require anyexternal aligner.