Results 121 to 130 of about 6,207,310 (278)
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
DIPO: Differentiable Parallel Operation Blocks for Surgical Neural Architecture Search [PDF]
Deep learning has been used across a large number of computer vision tasks, however designing the network architectures for each task is time consuming.
Stoyanov, Danail +3 more
core +1 more source
Perception in robotic manipulation improves through the cooperative and complementary operation of biologically inspired multimodal tactile sensors. Receptor‐specific contribution analysis identifies which sensing modalities are required for specific tactile tasks.
Yu‐Jin Lee +4 more
wiley +1 more source
Neural architecture search for adversarial robustness via learnable pruning
The convincing performances of deep neural networks (DNNs) can be degraded tremendously under malicious samples, known as adversarial examples. Besides, with the widespread edge platforms, it is essential to reduce the DNN model size for efficient ...
Yize Li +6 more
doaj +1 more source
In this study, we identify a novel functional role of ZBTB18 in regulating trigeminal‐mediated neuropathic pain. Nerve injury reduces ZBTB18 in trigeminal ganglion neurons, impairing CHD4/NuRD recruitment and de‐repressing Clic1. Elevated CLIC1 enhances chloride channel activity and neuronal hyperexcitability, thereby driving pain.
Shoupeng Wang +11 more
wiley +1 more source
Benefiting from the search efficiency, differentiable neural architecture search (NAS) has evolved as the most dominant alternative to automatically design competitive deep neural networks (DNNs).
Luo, Xiangzhong +5 more
core
SerpinA3 acts as an endogenous TGF‐β receptor antagonist that binds to the extracellular domain of TGFR‐1, thereby preventing TGFR‐1–TGFR‐2 complex formation. This receptor‐level blockade suppresses TGF‐β/Smad2/3 signaling, attenuates cardiac fibroblast activation, and extracellular matrix deposition, and ultimately alleviates pressure overload–induced
Hui Wang +9 more
wiley +1 more source
Rethinking Architecture Selection in Differentiable NAS
Differentiable Neural Architecture Search is one of the most popular Neural Architecture Search (NAS) methods for its search efficiency and simplicity, accomplished by jointly optimizing the model weight and architecture parameters in a weight-sharing ...
Cheng, Minhao +4 more
core
In septic cardiomyopathy, PARP7 directly binds TBK1 and mediates its ADP‐ribosylation, thereby repressing TBK1‐driven proinflammatory signaling in macrophages. ABSTRACT Septic cardiomyopathy is a life‐threatening complication of sepsis, and an uncontrolled inflammatory response represents a key pathogenic mechanism. PARP7 negatively regulates the IFN‐I
Jibo Han +10 more
wiley +1 more source
Pareto optimized neural architecture search framework for edge based driver distraction detection
The growing adoption of Artificial Intelligence (AI) in real-world applications highlights the need for Deep Learning (DL) models that are both efficient and accurate. However, the high computational requirements of DL often hinder deployment in resource-
Yassamine Lala Bouali +3 more
doaj +1 more source

