Results 91 to 100 of about 22,229,619 (357)
Adversarial Training Methods for Boltzmann Machines
IEEE Access, 2020 A Restricted Boltzmann Machines (RBM) is a generative Neural Net that is typically trained to minimize KL divergence between data distribution Pdata and its model distribution PRBM. However, minimizing this KL divergence does not sufficiently penalize an
Jian Zhang +3 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Elevating Wafer Defect Inspection with Denoising Diffusion Probabilistic Model
MathematicsIntegrated circuits (ICs) are critical components in the semiconductor industry, and precise wafer defect inspection is essential for maintaining product quality and yield.
Ping-Hung Wu +8 more
doaj +1 more source
Scaffold-based molecular design with a graph generative model
Chemical Science, 2019 Searching for new molecules in areas like drug discovery often starts from the core structures of known molecules. Such a method has called for a strategy of designing derivative compounds retaining a particular scaffold as a substructure.
Jaechang Lim +4 more
semanticscholar +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework
Frontiers in Artificial Intelligence, 2020 This paper offers a formal account of policy learning, or habitual behavioral optimization, under the framework of Active Inference. In this setting, habit formation becomes an autodidactic, experience-dependent process, based upon what the agent sees ...
Anthony G. Chen +4 more
doaj +1 more source
Can Deep Generative Models Explain Brain Function in People with Developmental Dyslexia? [PDF]
, 2023 Hiroto Ogawa +3 more
openalex +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
On The Difficulty of Validating Molecular Generative Models Realistically: A Case Study on Public and Proprietary Data [PDF]
, 2023 Koichi Handa +4 more
openalex +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source