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

Spiking Neural Belief Propagation Decoder for Short Block Length LDPC Codes di von Bank, Alexander, Edelmann, Eike-Manuel, Miao, Sisi, Mandelbaum, Jonathan, Schmalen, Laurent

Sommario: “... due to their event-based nature. This paper proposes a novel decoding algorithm for low-density parity...”
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Magnetohydrodynamic-guiding-center-particle-in-cell Method for Multiscale Plasma Kinetic Simulations di Hu, Zitao, Bai, Xue-Ning, Sun, Xiaochen

Sommario: “...We present the formulation, algorithm and numerical tests of the magnetohydrodynamic-particle...”
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PolarZero: A Reinforcement Learning Approach for Low-Complexity Polarization Kernel Design di Hong, Yi-Ting, Rini, Stefano, Barletta, Luca

Sommario: “...Polar codes with large kernels can achieve improved error exponents but are challenging to design...”
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A variational Bayes latent class approach for EHR-based patient phenotyping in R di Buckley, Brian, O'Hagan, Adrian, Galligan, Marie

Sommario: “...) algorithm using closed-form coordinate ascent variational inference (CAVI) to determine the patient...”
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Proximity-Informed Calibration for Deep Neural Networks di Xiong, Miao, Deng, Ailin, Koh, Pang Wei, Wu, Jiaying, Li, Shen, Xu, Jianqing, Hooi, Bryan

Sommario: “..., especially under safety-critical scenarios. However, we find that existing calibration algorithms often...”
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Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers di Lin, Xiaoqiang, Wu, Zhaoxuan, Dai, Zhongxiang, Hu, Wenyang, Shu, Yao, Ng, See-Kiong, Jaillet, Patrick, Low, Bryan Kian Hsiang

Sommario: “... used the query-efficient Bayesian optimization (BO) algorithm to automatically optimize...”
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NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation di Dong, Hao, Frusque, Gaëtan, Zhao, Yue, Chatzi, Eleni, Fink, Olga

Sommario: “... introduce a novel algorithm for generating additional pseudo-anomalies on the basis of the limited labeled...”
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The Effective Horizon Explains Deep RL Performance in Stochastic Environments di Laidlaw, Cassidy, Zhu, Banghua, Russell, Stuart, Dragan, Anca

Sommario: “.... These require strategic exploration algorithms that use relatively limited function classes for representing...”
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CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving di Gao, Dechen, Cai, Shuangyu, Zhou, Hanchu, Wang, Hang, Soltani, Iman, Zhang, Junshan

Sommario: “... for training and testing such algorithms in sophisticated driving environments. To fill this void, we introduce...”
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Fast and Globally Consistent Normal Orientation based on the Winding Number Normal Consistency di Lin, Siyou, Shi, Zuoqiang, Liu, Yebin

Sommario: “... their exciting progress, these algorithms either have high space/time complexity, or do not produce accurate...”
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Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval di Hoxha, Genc, Sumbul, Gencer, Henkel, Julia, Möllenbrok, Lars, Demir, Begüm

Sommario: “... pairs, we introduce two algorithms: 1) metric-guided uncertainty estimation (MGUE); and 2) binary...”
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Preprocessing to Reduce the Search Space for Odd Cycle Transversal di Jansen, Bart M. P., Mizutani, Yosuke, Sullivan, Blair D., Verhaegh, Ruben F. A.

Sommario: “... the size of the search space for FPT algorithms parameterized by $k$. We investigate under which conditions...”
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MetaFood3D: 3D Food Dataset with Nutrition Values di Chen, Yuhao, He, Jiangpeng, Vinod, Gautham, Raghavan, Siddeshwar, Czarnecki, Chris, Ma, Jinge, Mahmud, Talha Ibn, Coburn, Bruce, Mao, Dayou, Nair, Saeejith, Xi, Pengcheng, Wong, Alexander, Delp, Edward, Zhu, Fengqing

Sommario: “... contributes to the development of CV algorithms due to its frequent presence in datasets across various...”
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Linear stimulus reconstruction works on the KU Leuven audiovisual, gaze-controlled auditory attention decoding dataset di Geirnaert, Simon, Rotaru, Iustina, Francart, Tom, Bertrand, Alexander

Sommario: “... to reveal gaze-related shortcuts in existing spatial AAD algorithms that aim to decode the (direction...”
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Cryptanalysis via Machine Learning Based Information Theoretic Metrics di Kim, Benjamin D., Vasudevan, Vipindev Adat, D'Oliveira, Rafael G. L., Cohen, Alejandro, Stahlbuhk, Thomas, Médard, Muriel

Sommario: “... network coding-based cryptosystems and provide other use cases for our algorithms. We show that our...”
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Gradient-descent methods for fast quantum state tomography di Gaikwad, Akshay, Torres, Manuel Sebastian, Ahmed, Shahnawaz, Kockum, Anton Frisk

Sommario: “... for characterizing noisy intermediate-scale quantum devices. Our Python code for GD-QST algorithms is publicly...”
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Quantum Error Detection For Early Term Fault-Tolerant Quantum Algorithms di Ginsberg, Tom, Patel, Vyom

Sommario: “... compilation and simulation of quantum algorithms using [[n, n-2, 2]] codes, which enable low-qubit-overhead...”
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LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models di Tang, Lingxiao, Liu, Jiakun, Liu, Zhongxin, Yang, Xiaohu, Bao, Lingfeng

Sommario: “...The SZZ algorithm is the dominant technique for identifying bug-inducing commits and serves as a...”
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Mainlobe Jamming Suppression Using MIMO-STCA Radar di Wang, Huake, Cai, Bairui, Liao, Guisheng

Sommario: “... utilizing a novel multiple-input multiple-output space-time coding array (MIMO-STCA) radar. Extending...”
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Variables Ordering Optimization in Boolean Characteristic Set Method Using Simulated Annealing and Machine Learning-based Time Prediction di Luo, Minzhong, Sun, Yudong, Long, Yin

Sommario: “... cryptanalysis, with wide-ranging applications in cryptography, coding theory, and formal verification. Among...”
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