Risultati della ricerca - (coding OR encoding) (algorithmics OR (algorithm OR algorithm))

Leveraging graph neural networks for supporting Automatic Triage of Patients di Defilippo, Annamaria, Veltri, Pierangelo, Lio', Pietro, Guzzi, Pietro Hiram

Sommario: “...) to develop algorithms able to maximize information gathering and minimize errors in patient triage processing...”
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SimGrade: Using Code Similarity Measures for More Accurate Human Grading di Johnson-Yu, Sonja, Bowman, Nicholas, Sahami, Mehran, Piech, Chris

Sommario: “... they have previously seen. We propose several algorithms for (1) assigning student submissions to graders...”
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Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery di Tourani, Siddharth, Alwheibi, Ahmed, Mahmood, Arif, Khan, Muhammad Haris

Sommario: “... of self-supervised learning algorithms, known as diffusion models. Some recent works have shown...”
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pfl-research: simulation framework for accelerating research in Private Federated Learning di Granqvist, Filip, Song, Congzheng, Cahill, Áine, van Dalen, Rogier, Pelikan, Martin, Chan, Yi Sheng, Feng, Xiaojun, Krishnaswami, Natarajan, Jina, Vojta, Chitnis, Mona

Sommario: “... with state-of-the-art privacy algorithms. We study the speed of open-source FL frameworks and show that pfl...”
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PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction di Stekovic, Sinisa, Artykov, Arslan, Ainetter, Stefan, D'Urso, Mattia, Fraundorfer, Friedrich

Sommario: “... designed in Blender, into efficient PyTorch code. While there are many possible applications of our...”
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SpComm3D: A Framework for Enabling Sparse Communication in 3D Sparse Kernels di Abubaker, Nabil, Hoefler, Torsten

Sommario: “...Existing 3D algorithms for distributed-memory sparse kernels suffer from limited scalability due...”
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NV-LIO: LiDAR-Inertial Odometry using Normal Vectors Towards Robust SLAM in Multifloor Environments di Chung, Dongha, Kim, Jinwhan

Sommario: “...Over the last few decades, numerous LiDAR-inertial odometry (LIO) algorithms have been developed...”
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SimiSketch: Efficiently Estimating Similarity of streaming Multisets di Dong, Fenghao, He, Yang, Liang, Yutong, Liu, Zirui, Wu, Yuhan, Chen, Peiqing, Yang, Tong

Sommario: “... algorithm designed to tackle this specific problem. The paper begins by presenting two simpler versions...”
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Quantum Speedup of the Dispersion and Codebook Design Problems di Yukiyoshi, Kein, Mikuriya, Taku, Rou, Hyeon Seok, de Abreu, Giuseppe Thadeu Freitas, Ishikawa, Naoki

Sommario: “... the Grover adaptive search (GAS) quantum algorithm, offering quadratic speedup. Dispersion problems...”
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Standardizing Structural Causal Models di Ormaniec, Weronika, Sussex, Scott, Lorch, Lars, Schölkopf, Bernhard, Krause, Andreas

Sommario: “... causal structure learning algorithms. However, the variances and pairwise correlations in SCM data tend...”
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SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation di Liu, Xu, Lei, Jiuzhou, Prabhu, Ankit, Tao, Yuezhan, Spasojevic, Igor, Chaudhari, Pratik, Atanasov, Nikolay, Kumar, Vijay

Sommario: “...This paper develops a real-time decentralized metric-semantic SLAM algorithm that enables a...”
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DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity di Wang, Shuang, Lu, Qianwen, Peng, Boxing, Nie, Yihe, Tao, Qingchuan

Sommario: “...For the task of low-light image enhancement, deep learning-based algorithms have demonstrated...”
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Minimizing the Number of Roles in Bottom-Up Role-Mining using Maximal Biclique Enumeration di Tripunitara, Mahesh

Sommario: “... that exploits a sufficient condition for an efficient algorithm, while a useful first step, does not scale...”
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Benchmarking Large Language Models for Math Reasoning Tasks di Seßler, Kathrin, Rong, Yao, Gözlüklü, Emek, Kasneci, Enkelejda

Sommario: “... of datasets and in-context learning algorithms designed to improve the ability of LLMs to automate...”
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Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration di Xu, Cheng, Zhang, Changtian, Shi, Yuchen, Wang, Ran, Duan, Shihong, Wan, Yadong, Zhang, Xiaotong

Sommario: “..., yet they often struggle in complex multi-agent environments due to issues like algorithm instability...”
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GreenWhisk: Emission-Aware Computing for Serverless Platform di Serenari, Jayden, Sreekumar, Sreekanth, Zhao, Kaiwen, Sarkar, Saurabh, Lee, Stephen

Sommario: “... when the demand for service spikes. Users provide code as functions, and the cloud platform runs...”
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Temporal and Spacial Studies of Infectious Diseases: Mathematical Models and Numerical Solvers di Talha, Md Abu, Xu, Yongjia, Zhao, Shan, Geng, Weihua

Sommario: “... conditions, etc. This paper aim to address these issues by providing numerical algorithms involving space...”
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Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks di Mali, Ankur, Salvatori, Tommaso, Ororbia, Alexander

Sommario: “...Energy-based learning algorithms, such as predictive coding (PC), have garnered significant...”
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Exact sensitivity analysis of Markov reward processes via algebraic geometry di Chan, Timothy C. Y., Maaz, Muhammad

Sommario: “... tractably. We establish several theoretical results about such systems and develop a specialized algorithm...”
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Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods di Boudec, Lise Le, de Bezenac, Emmanuel, Serrano, Louis, Regueiro-Espino, Ramon Daniel, Yin, Yuan, Gallinari, Patrick

Sommario: “... learning a solver, i.e., solving PDEs using a physics-informed iterative algorithm trained on data. Our...”
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