Suchergebnisse - coding (algorithm OR (Algorithmssics OR Algorithmssics))

Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images von Ren, Jinwei, Zhu, Jianke

Inhaltsangabe: “… , we have not only demonstrated the effectiveness of our proposed fusion algorithm but also …”
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Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System von Pham, Hoang Viet, Tran, Thinh Gia, Le, Chuong Dinh, Le, An Dinh, Vo, Hien Bich

Inhaltsangabe: “… in the execution of deep learning algorithms. Previously, most benchmarking analysis was based on 2D images with a …”
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A Unifying Quantum Speed Limit For Time-Independent Hamiltonian Evolution von Chau, H. F., Zeng, Wenxin

Inhaltsangabe: “… and accurate algorithm for finite-dimensional quantum systems as well as for certain infinite-dimensional …”
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An empirical study of testing machine learning in the wild von Openja, Moses, Khomh, Foutse, Foundjem, Armstrong, Ming, Zhen, Jiang, Abidi, Mouna, Hassan, Ahmed E.

Inhaltsangabe: “… Recently, machine and deep learning (ML/DL) algorithms have been increasingly adopted in many …”
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Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning von Lu, Andong, Li, Chenglong, Zha, Tianrui, Tang, Jin, Wang, Xiaofeng, Luo, Bin

Inhaltsangabe: “… -scale real-world and large-scale synthetic training data, we develop a multi-domain learning algorithm …”
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Experimentally informed structure optimization of amorphous TiO2 films grown by atomic layer deposition von Meng, Jun, Abbasi, Mehrdad, Dong, Yutao, Carlosa, Corey, Wang, Xudong, Hwang, Jinwoo, Morgan, Dane

Inhaltsangabe: “… code using a genetic algorithm that simultaneously minimizes energy and maximizes match to experimental …”
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Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators von Raja, Sanjeev, Amin, Ishan, Pedregosa, Fabian, Krishnapriyan, Aditi S.

Inhaltsangabe: “… generalization of implicit differentiation techniques to a broader class of stochastic algorithms. Unlike …”
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On Latency Predictors for Neural Architecture Search von Akhauri, Yash, Abdelfattah, Mohamed S.

Inhaltsangabe: “… that satisfy a latency constraint on a specific hardware device. Central to these search algorithms is a …”
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MedMamba: Vision Mamba for Medical Image Classification von Yue, Yubiao, Li, Zhenzhang

Inhaltsangabe: “… insights for developing more powerful Mamba-based artificial intelligence algorithms and applications …”
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RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN von Deng, Ziheng, Chen, Hua, Zhou, Yongzheng, Hu, Haibo, Xu, Zhiyong, Sun, Jiayuan, Lyu, Tianling, Xi, Yan, Chen, Yang, Zhao, Jun

Inhaltsangabe: “… this issue, most algorithms employ 2D network models as backbones, neglecting the intrinsic structural priors …”
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Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks von Andriushchenko, Maksym, Croce, Francesco, Flammarion, Nicolas

Inhaltsangabe: “… similarities with jailbreaking -- which is the algorithm that brought us the first place in the SaTML'24 Trojan …”
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Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scans von Tan, Lixing, Song, Shuang, Zhou, Kangneng, Duan, Chengbo, Wang, Lanying, Ren, Huayang, Liu, Linlin, Zhang, Wei, Xiao, Ruoxiu

Inhaltsangabe: “… algorithms from volume scans to X-ray images are restricted by the scarcity of paired X-ray and volume data …”
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RetinaRegNet: A Zero-Shot Approach for Retinal Image Registration von Sivaraman, Vishal Balaji, Imran, Muhammad, Wei, Qingyue, Muralidharan, Preethika, Tamplin, Michelle R., Grumbach, Isabella M ., Kardon, Randy H., Wang, Jui-Kai, Zhou, Yuyin, Shao, Wei

Inhaltsangabe: “… using a combination of the SIFT algorithm and random point sampling. For each sampled point, we identify …”
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The Gravitational Lensing Imprints of DES Y3 Superstructures on the CMB: A Matched Filtering Approach von Demirbozan, Umut, Nadathur, Seshadri, Ferrero, Ismael, Fosalba, Pablo, Kovacs, Andras, Miquel, Ramon, Davies, Christopher T., Pandey, Shivam, Adamow, Monika, Bechtol, Keith, Drlica-Wagner, Alex, Gruendl, Robert, Hartley, Will, Pieres, Adriano, Ross, Ashley, Rykoff, Eli, Sheldon, Erin, Yanny, Brian, Abbott, Tim, Aguena, Michel, Allam, Sahar, Alves, Otavio, Bacon, David, Bertin, Emmanuel, Bocquet, Sebastian, Brooks, David, Rosell, Aurelio Carnero, Carretero, Jorge, Cawthon, Ross, da Costa, Luiz, Pereira, Maria Elidaiana da Silva, De Vicente, Juan, Desai, Shantanu, Doel, Peter, Everett, Spencer, Flaugher, Brenna, Friedel, Douglas, Frieman, Josh, Gatti, Marco, Gaztanaga, Enrique, Giannini, Giulia, Gutierrez, Gaston, Hinton, Samuel, Hollowood, Devon L., James, David, Jeffrey, Niall, Kuehn, Kyler, Lahav, Ofer, Lee, Sujeong, Marshall, Jennifer, Mena-Fernández, Juan, Mohr, Joe, Myles, Justin, Ogando, Ricardo, Malagón, Andrés Plazas, Roodman, Aaron, Sanchez, Eusebio, Sevilla, Ignacio, Smith, Mathew, Soares-Santos, Marcelle, Suchyta, Eric, Swanson, Molly, Tarle, Gregory, Weaverdyck, Noah, Weller, Jochen, Wiseman, Philip

Inhaltsangabe: “… algorithms: a 2D void-finder which operates on the projected galaxy density field in thin redshift shells …”
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GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability von Alekseenko, Andrey, Páll, Szilárd, Lindahl, Erik

Inhaltsangabe: “… , portability, and maintainability across a broad range of platforms. Thanks to its early algorithmic redesign …”
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Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models von Zeng, Tong, Acuna, Daniel E.

Inhaltsangabe: “… that do not take advantage of recent algorithmic developments such as attention mechanisms in deep …”
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WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark von Zhang, Chunhui, Liu, Li, Huang, Guanjie, Wen, Hao, Zhou, Xi, Wang, Yanfeng

Inhaltsangabe: “… tracking algorithms. To bridge this gap, we take the first step and introduce WebUOT-1M, \ie, the largest …”
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Low-Rank Quantization-Aware Training for LLMs von Bondarenko, Yelysei, Del Chiaro, Riccardo, Nagel, Markus

Inhaltsangabe: “… -efficient QAT algorithm for LLMs. LR-QAT employs several components to save memory without sacrificing …”
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Inverse Constitutional AI: Compressing Preferences into Principles von Findeis, Arduin, Kaufmann, Timo, Hüllermeier, Eyke, Albanie, Samuel, Mullins, Robert

Inhaltsangabe: “… language model (LLM) to reconstruct the original annotations. We propose a corresponding ICAI algorithm …”
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Voxel Map to Occupancy Map Conversion Using Free Space Projection for Efficient Map Representation for Aerial and Ground Robots von Fredriksson, Scott, Saradagi, Akshit, Nikolakopoulos, George

Inhaltsangabe: “… UAVs and UGVs, in enabling algorithms developed for 2D maps to be useful in 3D applications …”
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