I-NeRV: A Single-Network Implicit Neural Representation for Efficient Video Inpainting by Jie Ji, Shuxuan Fu, Jiaju Man

“…However, the limited size of the video embedding (e.g., <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>16</mn><mo>×</mo><mn>2</mn><mo>×</mo><mn>4</mn></mrow></semantics></math></inline-formula>) generated by the encoder restricts the available feature information for the decoder, which, in turn, constrains the model’s representational capacity and degrades inpainting performance. While implicit neural representations have shown promise for video inpainting, most of the existing research still revolves around image inpainting and does not fully account for the spatiotemporal continuity and relationships present in videos. …”
Get full text

Speech Stream Composition Affects Statistical Learning: Behavioral and Neural Evidence by Ana Paula Soares, Dario Paiva, Alberto Lema, Diana R. Pereira, Ana Cláudia Rodrigues, Helena Mendes Oliveira

“…Here, we tested if SL is affected by the composition of the speech streams by expositing participants to auditory streams containing either four nonsense words presenting a transitional probability (TP) of 1 (unmixed high-TP condition), four nonsense words presenting TPs of 0.33 (unmixed low-TP condition) or two nonsense words presenting a TP of 1, and two of a TP of 0.33 (mixed condition); first under incidental (implicit), and, subsequently, under intentional (explicit) conditions to further ascertain how prior knowledge modulates the results. …”
Get full text

Motor-based prediction mediates implicit vocal imitation by Yuchunzi Wu, Zhili Han, Xing Tian

“…Motor-based predictions orchestrate sensorimotor interaction and memory-based operations to mediate implicit learning behaviour in a social context.…”
Get full text

NeuSD: Surface Completion With Multi-View Text-to-Image Diffusion by Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev

Get full text

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology by Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lazaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin Wandelt, Greg L. Bryan

“…This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inference in astrophysics and cosmology. …”
Get full text

From Code to Ratings: Converting Programming Data to Enhance Collaborative Filtering in Educational Online Judge Systems by Daniel M. Muepu, Yutaka Watanobe

“…This study introduces and compares three innovative approaches for recommending programming problems within an Online Judge system (OJ), tackling the challenge of deriving implicit ratings from user interactions without explicit user ratings. …”
Get full text

Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images by Shihan Chen, Qingsong Yan, Yingjie Qu, Wang Gao, Junxing Yang, Fei Deng

“…Hence, the need for further improvements in both mapping accuracy and automation is highlighted. In this paper, we present an approach for generating a TDOM based on a Neural Radiance Field (NeRF) without utilizing prior three-dimensional geometry information called an Ortho Neural Radiance Field (Ortho-NeRF). …”
Get full text

A Hybrid Method for Implicit Intention Inference Based on Punished-Weighted Na&#x00EF;ve Bayes by Zheng Gao, Shiqian Wu, Zhonghua Wan, Sos Agaian

Get full text

Visualization and workload with implicit fNIRS-based BCI: toward a real-time memory prosthesis with fNIRS by Matthew Russell, Samuel Hincks, Liang Wang, Amin Babar, Zaiyi Chen, Zachary White, Robert J. K. Jacob

“…Functional Near-Infrared Spectroscopy (fNIRS) has proven in recent time to be a reliable workload-detection tool, usable in real-time implicit Brain-Computer Interfaces. But what can be done in terms of application of neural measurements of the prefrontal cortex beyond mental workload? …”
Get full text

Benchmarking Spiking Neural Network Learning Methods With Varying Locality by Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta

“…Spiking Neural Networks (SNNs), providing more realistic neuronal dynamics, have been shown to achieve performance comparable to Artificial Neural Networks (ANNs) in several machine learning tasks. …”
Get full text

General and stable emulation of finite state machines with spiking neural networks by Ziyang Sun, Zhong Zheng, Binying Zhang, Hanle Zheng, Zikai Wang, Hao Guo, Lei Deng

“…However, they face challenges in modeling complex especially black-box systems without explicit state descriptions. Neural networks, conversely, excel at modeling implicit and continuous systems but struggling with the temporally stable and precise tasks which FSMs can handle effectively. …”
Get full text

The neural bases of directed and spontaneous mental state attributions to group agents. by Adrianna C Jenkins, David Dodell-Feder, Rebecca Saxe, Joshua Knobe

Get full text

Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties by Alessio Miaschi, Gabriele Sarti, Dominique Brunato, Felice Dell’Orletta, Giulia Venturi

Get full text

Greater neural pattern similarity to the native language is associated with better novel word learning by Yuan Feng, Yuan Feng, Yuan Feng, Yuan Feng, Aqian Li, Aqian Li, Aqian Li, Aqian Li, Jing Qu, Jing Qu, Jing Qu, Jing Qu, Huiling Li, Huiling Li, Huiling Li, Huiling Li, Xiaoyu Liu, Xiaoyu Liu, Xiaoyu Liu, Xiaoyu Liu, Jingxian Zhang, Jingxian Zhang, Jingxian Zhang, Jingxian Zhang, Jiayi Yang, Jiayi Yang, Jiayi Yang, Jiayi Yang, Leilei Mei, Leilei Mei, Leilei Mei, Leilei Mei

“…Nevertheless, it is still unclear how the utilization of the L1 neural strategies affects visual word learning in a new language.MethodsTo address this question, the present study scanned native Chinese speakers while performing implicit reading tasks before 9-day form-meaning learning in Experiment 1 and before 12-day comprehensive word learning in Experiment 2. …”
Get full text

Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks by Toshiyuki Bandai, Teamrat A. Ghezzehei, Peishi Jiang, Patrick Kidger, Xingyuan Chen, Carl I. Steefel

“…The limited degrees of freedom of such soil hydraulic models constrain our ability to extract soil hydraulic properties from soil moisture data via inverse modeling. We present a new free‐form approach to learning the constitutive relations using physically constrained neural networks. …”
Get full text

The Adaption of Recent New Concepts in Neural Radiance Fields and Their Role for High-Fidelity Volume Reconstruction in Medical Images by Haill An, Jawad Khan, Suhyeon Kim, Junseo Choi, Younhyun Jung

“…Volume reconstruction techniques are gaining increasing interest in medical domains due to their potential to learn complex 3D structural information from sparse 2D images. Recently, neural radiance fields (NeRF), which implicitly model continuous radiance fields based on multi-layer perceptrons to enable volume reconstruction of objects at arbitrary resolution, have gained traction in natural image volume reconstruction. …”
Get full text

Nonlinear dynamics analysis of the high-speed maglev vehicle/guideway coupled system with backstepping fuzzy-neural-network control by Hao Zeng, Jingyu Huang, Ziyang Zhang, Qifei Lu

“…To improve the stability of the maglev train’s levitation and enhance its dynamic performance during high-speed operation, this paper establishes a control strategy based on backstepping control theory and fuzzy neural network. Firstly, this paper presents a vehicle/guideway numerical model based on the Shanghai Maglev line (SML) structure, considering the guideway’s flexible deformation and vertical irregularity. …”
Get full text

Social orienting in prematurely born preschoolers: a case control study showing altered neural tuning towards voices, not faces by Rowena Van den Broeck, Lisa Gistelinck, Sofie Vettori, Ward Deferm, Silke Vos, Bieke Bollen, Gunnar Naulaers, Els Ortibus, Bart Boets

“…Results All children showed an implicit social bias towards faces and voices. Compared to full-term peers, preterm preschoolers showed intact neural tuning to faces, but diminished neural tuning to voices, in particular in the speech-sensitive 3.70 Hz frequency band. …”
Get full text

Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…Semi-structured interview was used in this research. Delphi and fuzzy neural system were used to collect and analyze data. …”
Get full text

RS-SpecSDF: Reflection-supervised surface reconstruction and material estimation for specular indoor scenes by Dong-Yu Chen, Hao-Xiang Chen, Qun-Ce Xu, Tai-Jiang Mu

“…Neural Radiance Field (NeRF) has achieved impressive 3D reconstruction quality using implicit scene representations. …”
Get full text