Results 61 to 70 of about 15,549,974 (248)

Typological Transcoding Through LoRA and Diffusion Models: A Methodological Framework for Stylistic Emulation of Eclectic Facades in Krakow

Buildings
The stylistic emulation of historical building facades presents significant challenges for artificial intelligence (AI), particularly for complex and data-scarce styles like Krakow’s Eclecticism.
Zequn Chen, Nan Zhang, Chaoran Xu, Zhiyu Xu, Songjiang Han, Lishan Jiang   +5 more
doaj   +1 more source

State-of-Health Prediction of Lithium-Ion Batteries Based on Diffusion Model with Transfer Learning

Energies, 2023
An accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) is crucial to their safe and reliable. Although recently the data-driven methods have drawn great attention, owe to its efficient deep learning, it is worthwhile to continue ...
Chenqiang Luo, Zhendong Zhang, Shunliang Zhu, Yongying Li   +3 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Using Diffusion-Diffusion Exchange Spectroscopy to observe diffusion exchange in yeast [PDF]

, 2019
The permeability of cell membranes varies significantly across both healthy and diseased tissue, and changes in cell membrane permeability can occur during treatment response in tumours.
Roberts, Thomas, Lythgoe, Mark F., Hipwell, Ben, Alexander, Daniel C., Walker-Samuel, Simon, Breen-Norris, James O, Siow, Bernard, Ianus, Andrada   +7 more
core   +1 more source

IDNet: A Diffusion Model-Enhanced Framework for Accurate Cranio-Maxillofacial Bone Defect Repair

Bioengineering
Cranio-maxillofacial bone defect repair poses significant challenges in oral and maxillofacial surgery due to the complex anatomy of the region and its substantial impact on patients’ physiological function, aesthetic appearance, and quality of life ...
Xueqin Ji, Wensheng Wang, Xiaobiao Zhang, Xinrong Chen   +3 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning

mSystems
In the field of synthetic biology, the engineering of synthetic promoters that outperform their natural counterparts is of paramount importance, which can optimize the expression of exogenous genes, enhance the efficiency of metabolic pathways, and ...
Xin Lei, Xing Wang, Guanlin Chen, Ce Liang, Quhuan Li, Huaiguang Jiang, Wei Xiong   +6 more
doaj   +1 more source

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our approach enables training-free continual learning and unlearning with no additional memory or inference costs, since models corresponding to data shards can be added or removed
Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto   +8 more
openaire   +3 more sources

Neurosymbolic Diffusion Models

Advances in Neural Information Processing Systems 38
Accepted to NeurIPS ...
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari   +3 more
openaire   +2 more sources

On the Mathematics of Diffusion Models

CoRR, 2023
This paper gives direct derivations of the differential equations and likelihood formulas of diffusion models assuming only knowledge of Gaussian distributions. A VAE analysis derives both forward and backward stochastic differential equations (SDEs) as well as non-variational integral expressions for likelihood formulas.
openaire   +2 more sources