%0 Journal Article %1 silvestri2021embedded %A Silvestri, Gianluigi %A Fertig, Emily %A Moore, Dave %A Ambrogioni, Luca %D 2021 %J arXiv preprint arXiv:2110.06021 %K modeling deep neural probabilistic learning network citedby:scholar:timestamp:2022-5-12 toread citedby:scholar:count:1 normalizing programs layers flow programming %T Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling

@article{silvestri2021embedded, added-at = {2022-05-12T17:45:33.000+0200}, author = {Silvestri, Gianluigi and Fertig, Emily and Moore, Dave and Ambrogioni, Luca}, biburl = {https://www.bibsonomy.org/bibtex/2256404dea89273a4959419730fc7d6a9/becker}, interhash = {7fe85f4337da8a7e99cdea82e0fa0caa}, intrahash = {256404dea89273a4959419730fc7d6a9}, journal = {arXiv preprint arXiv:2110.06021}, keywords = {modeling deep neural probabilistic learning network citedby:scholar:timestamp:2022-5-12 toread citedby:scholar:count:1 normalizing programs layers flow programming}, timestamp = {2022-11-25T23:53:30.000+0100}, title = {Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling}, year = 2021 }