Risultati della ricerca - (coding OR decoding) ((Algorithmssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

Phi-4-reasoning Technical Report di 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

Sommario: “... 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 di Guan, Xiongjun, Pan, Zhiyu, Feng, Jianjiang, Zhou, Jie

Sommario: “... 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 di Shi, Baoshun, Meng, Xin, Lv, Shuangni, Liu, Zheng, Yang, Yan

Sommario: “... 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 di Huang, Yongsheng, Duan, Peibo, Liu, Zhipeng, Sun, Kai, Zhang, Changsheng, Zhang, Bin, Xu, Mingkun

Sommario: “... 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 di Zhang, Xiran, Conejero, Javier, Abdulah, Sameh, Ejarque, Jorge, Sun, Ying, Badia, Rosa M., Keyes, David E., Genton, Marc G.

Sommario: “... 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 di Liang, Jiaming, Dai, Lihuan, Sheng, Xiaoqi, Chen, Xiangguang, Yao, Chun, Tao, Guihua, Leng, Qibin, Cai, Hongmin, Zhong, Xi

Sommario: “... 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 di Luo, Hailong, Wu, Bin, Jia, Hongyong, Zhu, Qingqing, Shan, Lianlei

Sommario: “... 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 di Zhang, Chuan, Ren, Xuhao, Huang, Zhangcheng, Liang, Jinwen, Wang, Jianzong, Zhu, Liehuang

Sommario: “... 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 di Wang, Xiao, Jin, Yu, Chen, Lan, Jiang, Bo, Zhu, Lin, Tian, Yonghong, Tang, Jin, Luo, Bin

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

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

Sommario: “... 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 di Taveekitworachai, Pittawat, Manakul, Potsawee, Nutanong, Sarana, Pipatanakul, Kunat

Sommario: “... 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 di Engel, Robin Yoël, Lömker, Patrick

Sommario: “... 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 di Singh, Inder Pal, Ghorbel, Enjie, Kacem, Anis, Aouada, Djamila

Sommario: “... 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 di 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

Sommario: “... 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 di Fu, Yanping, Liu, Xinyuan, Li, Tianyu, Ma, Yike, Zhang, Yucheng, Dai, Feng

Sommario: “... 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 di Yaras, Can, Xu, Alec S., Abillama, Pierre, Lee, Changwoo, Balzano, Laura

Sommario: “... 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 di Liu, Zihao, Wu, Xiaoyu, Li, Wenna, Yang, Linlin, Wang, Shengjin

Sommario: “... 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 di Rouxel, Quentin, Donoso, Clemente, Chen, Fei, Ivaldi, Serena, Mouret, Jean-Baptiste

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

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