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

Superimposed Pilot-Based OTFS: Will It Work? di Kanazawa, Yuta, Iimori, Hiroki, Pradhan, Chandan, Malomsoky, Szabolcs, Ishikawa, Naoki

Sommario: “... on the SP-based OTFS system in channel coded scenarios, we propose a novel pilot assignment scheme...”
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Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls di Wang, Ante, Song, Linfeng, Tian, Ye, Yu, Dian, Mi, Haitao, Duan, Xiangyu, Tu, Zhaopeng, Su, Jinsong, Yu, Dong

Sommario: “...Recent advancements in tree search algorithms guided by verifiers have significantly enhanced...”
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Leveraging Qubit Loss Detection in Fault Tolerant Quantum Algorithms di Baranes, Gefen, Cain, Madelyn, Ataides, J. Pablo Bonilla, Bluvstein, Dolev, Sinclair, Josiah, Vuletic, Vladan, Zhou, Hengyun, Lukin, Mikhail D.

Sommario: “... and correct loss errors in logical algorithms and leverage such loss information in decoding. Considering...”
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PDX: A Data Layout for Vector Similarity Search di Kuffo, Leonardo, Krippner, Elena, Boncz, Peter

Sommario: “... distance kernels on standard horizontal vector storage (avg 40% faster), only relying on scalar code...”
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LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection di Yu, YiMing, Zutty, Jason

Sommario: “... modify model source code for image classification algorithms on CIFAR data and intelligently guide...”
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A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip di Gholami, Peyman, Seferoglu, Hulya

Sommario: “...Although gossip and random walk-based learning algorithms are widely known for decentralized...”
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables di Chen, Qixu, He, Yeye, Wong, Raymond Chi-Wing, Cui, Weiwei, Ge, Song, Zhang, Haidong, Zhang, Dongmei, Chaudhuri, Surajit

Sommario: “... algorithms have been developed to detect and repair data errors in tables, existing algorithms predominantly...”
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Multi-goal Rapidly Exploring Random Tree with Safety and Dynamic Constraints for UAV Cooperative Path Planning di Khuat, Thu Hang, Bui, Duy-Nam, Nguyen, Hoa TT., Trinh, Mien L., Nguyen, Minh T., Phung, Manh Duong

Sommario: “... for cooperative tasks. The source code of the algorithm is available at https://github.com/duynamrcv/multi...”
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Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline di Zhou, Hui, Shi, Shaoshuai, Li, Hongsheng

Sommario: “... advantages over traditional optimization-based planning algorithms. These advantages include fewer manually...”
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LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? di Zheng, Zihan, Cheng, Zerui, Shen, Zeyu, Zhou, Shang, Liu, Kaiyuan, He, Hansen, Li, Dongruixuan, Wei, Stanley, Hao, Hangyi, Yao, Jianzhu, Sheng, Peiyao, Wang, Zixuan, Chai, Wenhao, Korolova, Aleksandra, Henderson, Peter, Arora, Sanjeev, Viswanath, Pramod, Shang, Jingbo, Xie, Saining

Sommario: “... programming. Drawing on knowledge from a group of medalists in international algorithmic contests, we revisit...”
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Zero-Shot Neural Architecture Search with Weighted Response Correlation di Jing, Kun, Chen, Luoyu, Xu, Jungang, Tai, Jianwei, Wang, Yiyu, Li, Shuaimin

Sommario: “... in architecture search. Experimental results on architecture search show that our zero-shot NAS algorithm...”
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Achievable Rates of Nanopore-based DNA Storage di McBain, Brendon, Viterbo, Emanuele

Sommario: “... using a tractable channel model that does not rely on a basecalling algorithm. Specifically, the noisy...”
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Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference di Chuang, Pi-Yueh, Attia, Ahmed, Constantinescu, Emil

Sommario: “... computational cost at the cost of some accuracy. We additionally provide four second-order numerical algorithms...”
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Auditing Approximate Machine Unlearning for Differentially Private Models di Gu, Yuechun, He, Jiajie, Chen, Keke

Sommario: “... applying approximate unlearning algorithms. We propose the privacy criteria for unlearned and retained...”
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GPU-Accelerated Loopy Belief Propagation for Program Analysis di Feng, Haoyu, Zhang, Xin

Sommario: “...Loopy Belief Propagation (LBP) is a widely used approximate inference algorithm in probabilistic...”
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XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning di Palenicek, Daniel, Vogt, Florian, Watson, Joe, Posner, Ingmar, Peters, Jan

Sommario: “...Sample efficiency is a central property of effective deep reinforcement learning algorithms. Recent...”
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On the Capacity of Pixel Antenna based MIMO Communication di Lin, Shenrui, Zhang, Shuowen

Sommario: “... by adaptively reconfiguring each antenna's radiation pattern via a so-called antenna coding technique which...”
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Exploring the Model Dependence of MCMC-Based 21 cm Power Spectrum Parameter Constraints di Berklas, August, Pober, Jonathan

Sommario: “... Monte Carlo sampler of the semi-numerical simulation code 21cmFAST, has already been used in conjunction...”
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StarDist: A Code Generator for Distributed Graph Algorithms di Nandy, Barenya Kumar, Nasre, Rupesh

Sommario: “... algorithms in the message passing model. Our analysis-transformation framework optimizes graph traversal...”
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retinalysis-fundusprep: A python package for robust color fundus image bounds extraction di Quiros, Jose Vargas, Liefers, Bart, van Garderen, Karin, Center, Eyened Reading, Klaver, Caroline

Sommario: “... in automatic CFI analysis. We present an open-source algorithm, published as a Python package, to automatically...”
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