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

Software for Studying CASCADE Error Correction Protocols in Quantum Communications di Repnkiov, Nikita, Faerman, Vladimir

Sommario: “... for research and educational purposes. A parallel error-correction algorithm based on the actor model...”
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Towards Autonomous Graph Data Analytics with Analytics-Augmented Generation di Wang, Qiange, Chen, Chaoyi, Gao, Jingqi, Wang, Zihan, Zhang, Yanfeng, Yu, Ge

Sommario: “...- or code-generation-centric LLM agents alone. Although large language models (LLMs) provide strong...”
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Tight inapproximability of max-LINSAT and implications for decoded quantum interferometry di Kramer, Maximilian J., Schubert, Carsten, Eisert, Jens

Sommario: “.... Specifically, we prove by a direct reduction from Håstad's theorem that no polynomial-time algorithm can exceed...”
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Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning di Yin, Xiangyu, Du, Ming, Deng, Junjing, Yang, Zhi, Han, Yimo, Jiang, Yi

Sommario: “... models (LLMs) to discover and evolve novel regularization algorithms. The framework combines LLM-driven...”
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Synthetic verbal autopsy data di Lyatuu, Isaac

Sommario: “... for testing purposes.</p> <p>The dataset is designed primarily for evaluating computer-coded...”
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Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs di Chen, Yunhao, Wang, Xin, Li, Juncheng, Wang, Yixu, Li, Jie, Teng, Yan, Wang, Yingchun, Ma, Xingjun

Sommario: “... algorithms. Crucially, it features a code-level self-correction loop, allowing it to iteratively rewrite...”
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Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine‐based approach in diverse healthcare systems di Anna O. Basile, Anurag Verma, Leigh Anne Tang, Marina Serper, Andrew Scanga, Ava Farrell, Brittney Destin, Rotonya M. Carr, Anuli Anyanwu‐Ofili, Gunaretnam Rajagopal, Abraham Krikhely, Marc Bessler, Muredach P. Reilly, Marylyn D. Ritchie, Nicholas P. Tatonetti, Julia Wattacheril

Sommario: “... (NASH) at all stages of disease. Diagnosis codes alone fail to recognize and stratify at‐risk patients...”
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Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming di Langdon, W. B.

Sommario: “...C++ code snippets from a multi-core parallel memory-efficient crossover for genetic programming...”
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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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