Search Results - (coding OR decoding) ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR Algorithmssics))

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization by Wu, Junkang, Wang, Xue, Yang, Zhengyi, Wu, Jiancan, Gao, Jinyang, Ding, Bolin, Wang, Xiang, He, Xiangnan

Table of Contents: “… preference optimization algorithm designed to address these limitations by introducing a dynamic reward…”
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AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure by Zhang, Yu, Zheng, Kefeng, Liu, Fei, Zhang, Qingfu, Wang, Zhenkun

Table of Contents: “…. The deduced EARSM can be readily implemented in existing computational fluid dynamic (CFD) codes and promotes…”
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POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization by Karaman, Batuhan K., Zabir, Ishmam, Benhaim, Alon, Chaudhary, Vishrav, Sabuncu, Mert R., Song, Xia

Table of Contents: “… that are highly safe but prone to overrefusal. POROver employs preference optimization algorithms and leverages…”
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Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling by Holthusen, Hagen, Brepols, Tim, Linka, Kevin, Kuhl, Ellen

Table of Contents: “…. To address this challenge, built-in physics machine learning algorithms offer significant potential…”
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MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations by Xu, Liang, Hua, Shaoyang, Lin, Zili, Liu, Yifan, Ma, Feipeng, Yan, Yichao, Jin, Xin, Yang, Xiaokang, Zeng, Wenjun

Table of Contents: “… better motion text alignment, we also meticulously devise a motion caption generation algorithm…”
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Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence by Rybchuk, Alex, Martínez-Tossas, Luis A., Letizia, Stefano, Hamilton, Nicholas, Scholbrock, Andy, Maric, Emina, Houck, Daniel R., Herges, Thomas G., de Velder, Nathaniel B., Doubrawa, Paula

Table of Contents: “… and atmospheric model information through a diffusion model machine learning algorithm, allowing us to generate…”
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Agent Skill Acquisition for Large Language Models via CycleQD by Kuroki, So, Nakamura, Taishi, Akiba, Takuya, Tang, Yujin

Table of Contents: “… of the algorithm, along with a model merging based crossover and an SVD-based mutation. In CycleQD, each task…”
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AlphaChimp: Tracking and Behavior Recognition of Chimpanzees by Ma, Xiaoxuan, Lin, Yutang, Xu, Yuan, Kaufhold, Stephan P., Terwilliger, Jack, Meza, Andres, Zhu, Yixin, Rossano, Federico, Wang, Yizhou

Table of Contents: “… of their social interactions and the lack of specialized algorithms. Existing methods often struggle…”
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Brain-like Variational Inference by Vafaii, Hadi, Galor, Dekel, Yates, Jacob L.

Table of Contents: “… and Gaussian-based predictive coding models in sparsity, reconstruction, and biological plausibility…”
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Energy-Based Diffusion Language Models for Text Generation by Xu, Minkai, Geffner, Tomas, Kreis, Karsten, Nie, Weili, Xu, Yilun, Leskovec, Jure, Ermon, Stefano, Vahdat, Arash

Table of Contents: “… propose an efficient generation algorithm via parallel important sampling. Comprehensive experiments…”
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Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning by Luo, Jianlan, Xu, Charles, Wu, Jeffrey, Levine, Sergey

Table of Contents: “… coordination. Our approach integrates demonstrations and human corrections, efficient RL algorithms, and other…”
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How Do Developers Use Type Inference: An Exploratory Study in Kotlin by Flint, Samuel W., Keshk, Ali M., Dyer, Robert, Bagheri, Hamid

Table of Contents: “…Statically typed languages offer numerous benefits to developers, such as improved code quality…”
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Bridge-IF: Learning Inverse Protein Folding with Markov Bridges by Zhu, Yiheng, Wu, Jialu, Li, Qiuyi, Yan, Jiahuan, Yin, Mingze, Wu, Wei, Li, Mingyang, Ye, Jieping, Wang, Zheng, Wu, Jian

Table of Contents: “… learning algorithms for this task has seen significant success, the prevailing approaches, which…”
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SSFold: Learning to Fold Arbitrary Crumpled Cloth Using Graph Dynamics from Human Demonstration by Zhou, Changshi, Xu, Haichuan, Hu, Jiarui, Luan, Feng, Wang, Zhipeng, Dong, Yanchao, Zhou, Yanmin, He, Bin

Table of Contents: “… algorithm to gather and integrate human demonstration data into our novel end-to-end neural network…”
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FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data by Zhang, Yukun, Chen, Guanzhong, Xu, Zenglin, Wang, Jianyong, Zeng, Dun, Li, Junfan, Wang, Jinghua, Qi, Yuan, King, Irwin

Table of Contents: “… in realistic datasets that challenges current FL algorithms. To address these gaps, this paper presents…”
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DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection by Li, Shawn, Gong, Huixian, Dong, Hao, Yang, Tiankai, Tu, Zhengzhong, Zhao, Yue

Table of Contents: “…, and nine base OOD algorithms demonstrate that DPU significantly improves OOD detection performance, setting…”
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GROOT: Effective Design of Biological Sequences with Limited Experimental Data by Tran, Thanh V. T., Ngo, Nhat Khang, Nguyen, Viet Anh, Hy, Truong Son

Table of Contents: “… algorithms toward optimal outputs. However, existing methods struggle when labeled data is limited…”
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From Text to Pose to Image: Improving Diffusion Model Control and Quality by Bonnet, Clément, Lee, Ariel N., Wertel, Franck, Tamano, Antoine, Cizain, Tanguy, Ducru, Pablo

Table of Contents: “… algorithm, and a new pose adapter that incorporates more pose keypoints for higher pose fidelity. Together…”
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MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution by Sami, Shoaib Meraj, Hasan, Md Mahedi, Saadabadi, Mohammad Saeed Ebrahimi, Dawson, Jeremy, Nasrabadi, Nasser, Rao, Raghuveer

Table of Contents: “… on various super-resolution algorithms, including GAN- and diffusion-based methods, demonstrate that our MGHF…”
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LDM-Morph: Latent diffusion model guided deformable image registration by Wu, Jiong, Gong, Kuang

Table of Contents: “…, an unsupervised deformable registration algorithm for medical image registration. LDM-Morph integrated features…”
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