Results 61 to 70 of about 73,328 (265)

Reinforced In-Context Black-Box Optimization

Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence
Black-Box Optimization (BBO) has found successful applications in many fields of science and engineering. Recently, there has been a growing interest in meta-learning particular components of BBO algorithms to speed up optimization and get rid of tedious hand-crafted heuristics.
Lei Song, Chenxiao Gao, Ke Xue 0001, Chenyang Wu 0001, Dong Li 0016, Jianye Hao, Zongzhang Zhang, Chao Qian 0001   +7 more
openaire   +2 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Hdconfigor: Automatically Tuning High Dimensional Configuration Parameters for Log Search Engines

IEEE Access, 2020
Search engines are nowadays widely applied to store and analyze logs generated by large-scale distributed systems. To adapt to various workload scenarios, log search engines such as Elasticsearch usually expose a large number of performance-related ...
Hui Dou, Pengfei Chen, Zibin Zheng
doaj   +1 more source

An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks

Algorithms, 2022
Deep neural networks (DNNs) are sensitive to adversarial data in a variety of scenarios, including the black-box scenario, where the attacker is only allowed to query the trained model and receive an output.
Raz Lapid, Zvika Haramaty, Moshe Sipper
doaj   +1 more source

Black Box Recursive Translations for Molecular Optimization

CoRR, 2019
Machine learning algorithms for generating molecular structures offer a promising new approach to drug discovery. We cast molecular optimization as a translation problem, where the goal is to map an input compound to a target compound with improved biochemical properties.
Farhan N. Damani, Vishnu Sresht, Stephen Ra   +2 more
openaire   +2 more sources

Optimizing Black-box Metrics with Adaptive Surrogates

CoRR, 2020
We address the problem of training models with black-box and hard-to-optimize metrics by expressing the metric as a monotonic function of a small number of easy-to-optimize surrogates. We pose the training problem as an optimization over a relaxed surrogate space, which we solve by estimating local gradients for the metric and performing inexact convex
Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta   +4 more
openaire   +3 more sources

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Enhancing the Transferability of Adversarial Patch via Alternating Minimization

International Journal of Computational Intelligence Systems
Adversarial patches, a type of adversarial example, pose serious security threats to deep neural networks (DNNs) by inducing erroneous outputs. Existing gradient stabilization methods aim to stabilize the optimization direction of adversarial examples ...
Yang Wang, Lei Chen, Zhen Yang, Tieyong Cao   +3 more
doaj   +1 more source

WaveAttn-AdvGAN: Image adversarial example generation method based on discrete wavelet transform and global grouped coordinate attention

Alexandria Engineering Journal
Deep neural networks (DNNs) excel at image classification tasks, but their vulnerability to adversarial examples raise serious security concerns. Although existing adversarial attack methods demonstrate certain threat levels in black-box scenarios, they ...
Xiaoyin Yi, Long Chen, Xiaofei Zhu, Ning Yu   +3 more
doaj   +1 more source