I’m not sure what is the best energy allocation between modelling and inference here. I think, however, that the modelling part is more neglected (the target distribution is rarely even considered as something that can be written down and analysed). Moreover, designing good target distributions can be quite alignment-specific whereas designing algorithms for inference in probabilistic graphical models is an extremely generic research problem so we can expect progress here anyway.
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I’m not sure what is the best energy allocation between modelling and inference here. I think, however, that the modelling part is more neglected (the target distribution is rarely even considered as something that can be written down and analysed). Moreover, designing good target distributions can be quite alignment-specific whereas designing algorithms for inference in probabilistic graphical models is an extremely generic research problem so we can expect progress here anyway.