Suchergebnisse - (coding OR decoding) ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR Algorithmsssics))

Phi-4-reasoning Technical Report von Abdin, Marah, Agarwal, Sahaj, Awadallah, Ahmed, Balachandran, Vidhisha, Behl, Harkirat, Chen, Lingjiao, de Rosa, Gustavo, Gunasekar, Suriya, Javaheripi, Mojan, Joshi, Neel, Kauffmann, Piero, Lara, Yash, Mendes, Caio César Teodoro, Mitra, Arindam, Nushi, Besmira, Papailiopoulos, Dimitris, Saarikivi, Olli, Shah, Shital, Shrivastava, Vaishnavi, Vineet, Vibhav, Wu, Yue, Yousefi, Safoora, Zheng, Guoqing

Inhaltsangabe: “… comprehensive evaluations span benchmarks in math and scientific reasoning, coding, algorithmic problem solving …”
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Finger Pose Estimation for Under-screen Fingerprint Sensor von Guan, Xiongjun, Pan, Zhiyu, Feng, Jianjiang, Zhou, Jie

Inhaltsangabe: “… of fingerprint recognition algorithms. Our code is available at https://github.com/XiongjunGuan/DRACO.  …”
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Cross-organ all-in-one parallel compressed sensing magnetic resonance imaging von Shi, Baoshun, Meng, Xin, Lv, Shuangni, Liu, Zheng, Yang, Yan

Inhaltsangabe: “… that implements a p-CSMRI iterative algorithm via three specialized modules: auxiliary variable module, prior …”
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CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity von Huang, Yongsheng, Duan, Peibo, Liu, Zhipeng, Sun, Kai, Zhang, Changsheng, Zhang, Bin, Xu, Mingkun

Inhaltsangabe: “… degradation in deeper graph pathways, as well as a critical path-based algorithm that enables CogniSNN …”
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RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems von Zhang, Xiran, Conejero, Javier, Abdulah, Sameh, Ejarque, Jorge, Sun, Ying, Badia, Rosa M., Keyes, David E., Genton, Marc G.

Inhaltsangabe: “… and manycore systems. RCOMPSs adopts a dynamic, task-based programming model, allowing users to write code in a …”
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HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation von Liang, Jiaming, Dai, Lihuan, Sheng, Xiaoqi, Chen, Xiangguang, Yao, Chun, Tao, Guihua, Leng, Qibin, Cai, Hongmin, Zhong, Xi

Inhaltsangabe: “… and the imperative to amalgamate inherently misaligned modalities. As a result, algorithms are constrained to train …”
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LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization von Luo, Hailong, Wu, Bin, Jia, Hongyong, Zhu, Qingqing, Shan, Lianlei

Inhaltsangabe: “… design a reinforcement learning algorithm, Harmonized Group Policy Optimization (HGPO), to optimize …”
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EPSpatial: Achieving Efficient and Private Statistical Analytics of Geospatial Data von Zhang, Chuan, Ren, Xuhao, Huang, Zhangcheng, Liang, Jinwen, Wang, Jianzong, Zhu, Liehuang

Inhaltsangabe: “… to succinctly secret-share values on the nodes of an exponentially large quad-tree. Then, we use Gray code …”
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Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection von Wang, Xiao, Jin, Yu, Chen, Lan, Jiang, Bo, Zhu, Lin, Tian, Yonghong, Tang, Jin, Luo, Bin

Inhaltsangabe: “… object detection algorithms are typically built upon Convolutional Neural Networks (CNNs) or Transformers …”
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Thinkless: LLM Learns When to Think von Fang, Gongfan, Ma, Xinyin, Wang, Xinchao

Inhaltsangabe: “… Relative Policy Optimization (DeGRPO) algorithm, which decomposes the learning objective of hybrid …”
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AdaptThink: Reasoning Models Can Learn When to Think von Zhang, Jiajie, Lin, Nianyi, Hou, Lei, Feng, Ling, Li, Juanzi

Inhaltsangabe: “… propose AdaptThink, a novel RL algorithm to teach reasoning models to choose the optimal thinking mode …”
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Prior Prompt Engineering for Reinforcement Fine-Tuning von Taveekitworachai, Pittawat, Manakul, Potsawee, Nutanong, Sarana, Pipatanakul, Kunat

Inhaltsangabe: “… through reward signals. While existing RFT research has primarily focused on algorithms, reward shaping …”
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Poleval: A Python package for HAXPES analysis von Engel, Robin Yoël, Lömker, Patrick

Inhaltsangabe: “… experimentalists to process and analyse measurements in very few lines of code, so as to provide decision aids …”
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Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach von Singh, Inder Pal, Ghorbel, Enjie, Kacem, Anis, Aouada, Djamila

Inhaltsangabe: “… distinct clusters. Instead of using the traditional Expectation Maximization (EM) algorithm, our approach …”
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Aneumo: A Large-Scale Multimodal Aneurysm Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks von Li, Xigui, Zhou, Yuanye, Xiao, Feiyang, Guo, Xin, Jiang, Chen, Pan, Tan, Zhang, Xingmeng, Liu, Cenyu, Miao, Zeyun, Ge, Jianchao, Wang, Xiansheng, Wang, Qimeng, Zhang, Yichi, Zhang, Wenbo, Zhu, Fengping, Han, Limei, Qi, Yuan, Lin, Chensen, Cheng, Yuan

Inhaltsangabe: “… the development of efficient machine learning algorithms for such applications. Based on 427 real aneurysm …”
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TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving von Fu, Yanping, Liu, Xinyuan, Li, Tianyu, Ma, Yike, Zhang, Yucheng, Dai, Feng

Inhaltsangabe: “… Point-Lane Geometry Matching algorithm that computes distances between detected points and lanes …”
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MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention von Yaras, Can, Xu, Alec S., Abillama, Pierre, Lee, Changwoo, Balzano, Laura

Inhaltsangabe: “… optimization-based algorithm to compute an approximate projection of softmax attention onto the class …”
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Rethinking Metrics and Benchmarks of Video Anomaly Detection von Liu, Zihao, Wu, Xiaoyu, Li, Wenna, Yang, Linlin, Wang, Shengjin

Inhaltsangabe: “… the capability to evaluate scene overfitting of fully/weakly-supervised algorithms. To address these limitations …”
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Extremum Flow Matching for Offline Goal Conditioned Reinforcement Learning von Rouxel, Quentin, Donoso, Clemente, Chen, Fei, Ivaldi, Serena, Mouret, Jean-Baptiste

Inhaltsangabe: “… imitation and reinforcement learning algorithms based on Flow Matching, where policies are conditioned …”
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Efficient Deconvolution in Populational Inverse Problems von Vadeboncoeur, Arnaud, Girolami, Mark, Stuart, Andrew M.

Inhaltsangabe: “… observational noise. This coupled problem is addressed with a modified gradient descent algorithm that leverages …”
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