Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder by Lei Shen, Ya-xin Hu, Qin-yu Lv, Zheng-hui Yi, Jing-bo Gong, Chao Yan

“…Bayesian hierarchical drift diffusion modeling (HDDM) was employed to determine changes in reward sensitivity and computational process during decision-making. …”
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Exploring the energy landscape of RBMs: reciprocal space insights into bosons, hierarchical learning and symmetry breaking by J Quetzalcóatl Toledo-Marin, Anindita Maiti, Geoffrey C Fox, Roger G Melko

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Hierarchical Models and Tuning of Random Walk Metropolis Algorithms by Mylène Bédard

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Swin-Diff: a single defocus image deblurring network based on diffusion model by Hanyan Liang, Shuyao Chai, Xixuan Zhao, Jiangming Kan

“…Our results validate the effectiveness of combining diffusion models with hierarchical attention mechanisms for high-quality defocus blur removal.…”
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Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model by Yue Yang, Tie Liu, Ying Pu, Liangchen Liu, Qijun Zhao, Qun Wan

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GDSN-CD: Graph-Guided Diffusion Synergistic Network for Remote Sensing Change Detection by Yunfei Zhu, Jintao Song, Jinjiang Li

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A Hierarchically Structured Ni-NOF@ZIF-L Heterojunction Using Van Der Waals Interactions for Electrocatalytic Reduction of CO₂ to HCOOH by Liqun Wu, Xiaojun He, Jian Zhou

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Multimodal diffusion framework for collaborative text image audio generation and applications by Junhua Wang, Ouya Zhang, Yuan Jiang

“…Abstract This paper presents a novel framework for collaborative generation across text, image, and audio modalities using an enhanced diffusion model architecture. We introduce a Hierarchical Cross-modal Alignment Network that establishes unified representations while preserving modality-specific characteristics, and a Cross-modal Conditional Diffusion Model that enables flexible generation pathways through innovative conditional embedding and attention-guided mechanisms. …”
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Decomposing decision mechanisms in female substance use disorder: drift diffusion modeling of context-dependent biases in gain and loss processing by Hao Zhang, Gavin Kader, Huoyin Zhang, Haijian Zhao, Wanke Pan, Peng Lei

“…Behavioral preferences were analyzed using delay discounting models, while cognitive mechanisms were examined using hierarchical drift diffusion modeling to extract decision parameters (drift rates, thresholds, bias, non-decision time). …”
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Computational bioinspired structural design for sustainable and secure high-performance energy storage materials by Wenrui Li, Yong Huang, Qi Zhang, Zhen Zhang

“…According to multi-scale statistical modeling, hierarchical structures have 25 % more energy storage capacity, 30 % more ion diffusion, and 20 % more mechanical toughness than standard materials. …”
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Adult age differences in the integration of values for self and other by Lena Pollerhoff, Anne Saulin, Marcel Kurtz, Julia Stietz, Xue-Rui Peng, Grit Hein, Anita Tusche, Philipp Kanske, Shu-Chen Li, Andrea M.F. Reiter

“…In this study, we utilized a modified dictator game to combine a value-based decision framework with Bayesian hierarchical drift-diffusion modeling to investigate prosocial decision-making in a sample of younger (n = 63) and older adults (n = 48). …”
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Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. by Mads L Pedersen, Maria Ironside, Ken-Ichi Amemori, Callie L McGrath, Min S Kang, Ann M Graybiel, Diego A Pizzagalli, Michael J Frank

“…We present a novel application of the drift diffusion model (DDM) suited to quantify how offers of reward and aversiveness, and neural correlates thereof, are dynamically integrated to form decisions, and how such processes are altered in MDD. …”
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Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns by Lv Yongyin, Yu Caixia

“…These methods struggle with balancing precision and computational efficiency, especially when dealing with complex patterns and high-resolution images.MethodsTo address these limitations, we propose a novel segmentation model that integrates a hierarchical vision transformer backbone with multi-scale self-attention, cascaded attention decoding, and diffusion-based robustness enhancement. …”
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Synthetic and real-world datasets for crosswalk segmentation under diverse weather and lighting conditionsMendeley Data by Krešimir Romić, Hrvoje Leventić, Marija Habijan, Irena Galić

“…The synthetic portion contains 3000 images generated using a fine-tuned Stable Diffusion model, with 1500 images created using a standard prompt (''a crosswalk image'') and 1500 additional images incorporating various environmental conditions (sunny, cloudy, rainy, and night) through specialized prompts. …”
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DP-AMF: Depth-Prior–Guided Adaptive Multi-Modal and Global–Local Fusion for Single-View 3D Reconstruction by Luoxi Zhang, Chun Xie, Itaru Kitahara

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Atypical maturation of the functional connectome hierarchy in autism by Jong-eun Lee, Sunghun Kim, Shinwon Park, Hyoungshin Choi, Bo-yong Park, Hyunjin Park

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Diversity Waves in Collapse-Driven Population Dynamics. by Sergei Maslov, Kim Sneppen

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A novel YOLOv11-Driven deep learning algorithm for UAV multispectral oil spill detection in Inland lakes by Yu Zhang, Jian Xing, Weida Chen, Haitao Wang, Bingyu Shi, Yang Song, Xiaoou Huang, Zihan Jiang

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WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

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Explainable Machine Learning and Predictive Statistics for Sustainable Photovoltaic Power Prediction on Areal Meteorological Variables by Sajjad Nematzadeh, Vedat Esen

“…Feature importance is then quantified through two complementary aspects: (a) tree-based permutation scores extracted from a set of ensemble models and (b) information gain computed over random feature combinations. …”
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