Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces

11 January 2023

Papers citing "Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces"

5 / 5 papers shown

Title
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra Shubha R. Kharel Fanchen Meng Xiaohui Qu Matthew R. Carbone Deyu Lu 69 0 0 29 Sep 2024
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models Daniel Flam-Shepherd Tony C Wu Xuemei Gu Alba Cervera-Lierta Mario Krenn Alán Aspuru-Guzik DRL 51 21 0 06 Sep 2021
Molecular Generative Model Based On Adversarially Regularized Autoencoder S. Hong Jaechang Lim Seongok Ryu W. Kim GAN DRL GNN 59 65 0 13 Nov 2019
Maximum a Posteriori Estimators as a Limit of Bayes Estimators R. Bassett Julio Deride 53 83 0 17 Nov 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 164 2,932 0 07 Oct 2016