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

A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model di Yang, Shuo, Wang, Caojun, Ma, Zhenyu, Huang, Yanjun, Chen, Hong

Sommario: “... environments to improve their ability to cope with different scenarios. However, most self-learning algorithms...”
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SR-Reward: Taking The Path More Traveled di Azad, Seyed Mahdi B., Padar, Zahra, Kalweit, Gabriel, Boedecker, Joschka

Sommario: “...{SR-Reward}, leverages successor representation (SR) to encode a state based on expected future states...”
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A Quantum Walk Inspired Qubit Lattice Algorithm for Simulating Electromagnetic Wave Propagation and Scattering in Conservative and Dissipative Magnetized Plasmas di Koukoutsis, Efstratios, Hizanidis, Kyriakos, Vahala, George, Tsironis, Christos, Ram, Abhay K., Soe, Min, Vahala, Linda

Sommario: “..., quantum walk-inspired algorithm suitable for simulating the electromagnetic wave propagation...”
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Using quantum annealing to generate test cases for cyber-physical systems di Araujo, Hugo, Wang, Xinyi, Mousavi, Mohammad, Ali, Shaukat

Sommario: “... achieving the full theoretical potential. Among the quantum algorithms, quantum annealing is a prime...”
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Do We Still Need to Work on Odometry for Autonomous Driving? di Gentil, Cedric Le, Lisus, Daniil, Barfoot, Timothy D.

Sommario: “... integration of wheel encoder data and yaw rate measurements from a gyroscope. We denote this algorithm...”
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Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments di Lu, Jingxi, Li, Wenhao, Guo, Jianxiong, Ding, Xingjian, Tang, Zhiqing, Wang, Tian, Jia, Weijia

Sommario: “... scheduling algorithms often assume static resource availability, which is unrealistic when multiple...”
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Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms di Kera, Hiroshi, Pelleriti, Nico, Ishihara, Yuki, Zimmer, Max, Pokutta, Sebastian

Sommario: “... and eliminates computationally expensive reduction steps, which we find to dominate the algorithm's runtime...”
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Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach di Chen, Haoxuan, Ren, Yinuo, Min, Martin Renqiang, Ying, Lexing, Izzo, Zachary

Sommario: “... of such approximations, we propose an ensemble-based algorithm that performs posterior sampling without the use...”
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Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies di Chifu, Viorica Rozina, Cioara, Tudor, Pop, Cristina Bianca, Anghel, Ionut

Sommario: “... are modeled through an evolutionary algorithm. An individual in the algorithm population is represented...”
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Sampling-Based Planning Under STL Specifications: A Forward Invariance Approach di Marchesini, Gregorio, Liu, Siyuan, Lindemann, Lars, Dimarogonas, Dimos V.

Sommario: “...We propose a variant of the Rapidly Exploring Random Tree Star (RRT$^{\star}$) algorithm...”
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Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models di Sawada, Tomohiro, Goyal, Kartik

Sommario: “... the downstream impact of BPE inference algorithms that do not rely on this merge list at all, and hence differ...”
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Learning to Select MCP Algorithms: From Traditional ML to Dual-Channel GAT-MLP di Li, Xiang, Wang, Shanshan, Xiao, Chenglong

Sommario: “..., yet no single algorithm consistently outperforms all others across diverse graph instances...”
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Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation di Su, Run, Fu, Hao, Zhou, Shuai, Fu, Yingao

Sommario: “...-to-online fine-tuning RL algorithm for robot social navigation by integrating Return-to-Go (RTG) prediction...”
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Quantum Algorithm for Low Energy Effective Hamiltonian and Quasi-Degenerate Eigenvalue Problem di Li, Chun-Tse, Ong, Tzen, Lin, Chih-Yun, Chen, Yu-Cheng, Lin, Hsin, Hsieh, Min-Hsiu

Sommario: “... properties. Standard quantum algorithms, such as phase estimation and QSVT-based eigenvalue filtering, work...”
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Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats di Zhang, Manyi, Li, Ji-Fu, Sun, Zhongao, Bai, Haoli, Zhen, Hui-Ling, Dong, Zhenhua, Yu, Xianzhi

Sommario: “... language models (LLMs). Despite various post-training quantization (PTQ) algorithms being proposed...”
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Universal Algorithm-Implicit Learning di Woerner, Stefano, Oh, Seong Joon, Baumgartner, Christian F.

Sommario: “... and introduces a distinction between algorithm-explicit and algorithm-implicit learning, providing a principled...”
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Grammar Repair with Examples and Tree Automata: Extended Version di Lee, Yunjeong, Rajiv, Gokul, Sergey, Ilya

Sommario: “... (TAs). The technical novelties of our approach are (1) a new TA learning algorithm that constructs...”
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Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels di Kunde, Vishnu Teja, Chamberland, Jean-Francois, Narayanan, Krishna R., Ebert, Jamison

Sommario: “... information-theoretic limit. When tokenized characters arriving at a fixed reading pace are encoded...”
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Quantum Koopman Algorithms di Jennings, David, Korzekwa, Kamil, Lostaglio, Matteo, Wang, Guoming

Sommario: “... of observables and efficient coherent encodings of their Koopman-driven evolution. QKAs have two strands: Dynamic...”
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Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars di Jinzhan Li, Suhas Kumar, Su‐in Yi

Sommario: “... and quantum processors) employing annealing algorithms, while promising, have handled relatively easy...”
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