Unveiling the Potential of AI for Nanomaterial Morphology Prediction

31 May 2024

Papers citing "Unveiling the Potential of AI for Nanomaterial Morphology Prediction"

9 / 9 papers shown

Title
A GPT-4 Reticular Chemist for Guiding MOF Discovery Zhiling Zheng Zichao Rong Nakul Rampal C. Borgs J. Chayes O. Yaghi 7 66 0 20 Jun 2023
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 339 6,830 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 221 30,089 0 01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 343 15,373 0 20 Dec 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 298 10,591 0 17 Feb 2020
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 129 716 0 25 Jan 2019
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 96 622 0 02 Nov 2018
A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms Fernando A. Fardo Victor H. Conforto Francisco C. de Oliveira P. Rodrigues 33 63 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015