Risultati della ricerca - coding (algorithmsssics OR (algorithm OR (Algorithmssssssics OR (algorithm OR algorithm))))

A Survey on Spherical Designs: Existence, Numerical Constructions, and Applications di An, Congpei, Zhuang, Xiaosheng

Sommario: “..., optimization, coding theory, quantum physics, and other fields, which have led to the development of profound...”
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Multi-instance robust fitting for non-classical geometric models di Zhang, Zongliang, Li, Shuxiang, Huang, Xingwang, Wang, Zongyue

Sommario: “... meta-heuristic algorithm as the optimizer to seek the global optimum. The effectiveness of our method...”
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Semi-Supervised Cross-Domain Imitation Learning di Chu, Li-Min, Ma, Kai-Siang, Chen, Ming-Hong, Hsieh, Ping-Chun

Sommario: “... and propose the first algorithm for SS-CDIL with theoretical justification. Our method uses only offline data...”
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Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models di Cao, Mingyu, Correia, Alvaro H. C., Louizos, Christos, Liu, Shiwei, Yin, Lu

Sommario: “..., especially on reasoning-heavy prompts. We present SOAR, a training-free decoding algorithm that adapts its...”
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MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models di Hu, Lulu, Xiao, Wenhu, Chen, Xin, Xu, Xinhua, Xu, Bowen, Li, Kun, Tao, Yongliang

Sommario: “... the state-of-the-art PTQ algorithms. Source code: https://github.com/alibaba/EfficientAI. ...”
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SVD Contextual Sparsity Predictors for Fast LLM Inference di Serbin, Georgii, Koshkin, Kirill, Sun, Zhongao, Bistrigova, Anastasiya, Korikov, C. C.

Sommario: “..., along with a threshold calibration algorithm, and inference executors supporting conditional computation...”
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Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models di Schweiger, Niklas, Cremers, Daniel, Ram, Karnik

Sommario: “... algorithm (TRS) which treats the pre-trained generative and reward models as a black-box and only optimizes...”
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Execution-Grounded Credit Assignment for GRPO in Code Generation di Kumar, Abhijit, Kumar, Natalya, Gupta, Shikhar

Sommario: “...Critic-free reinforcement learning with verifiable rewards (RLVR) improves code generation...”
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HalalBench: A Multilingual OCR Benchmark for Food Packaging Ingredient Extraction di Arief, Hasan

Sommario: “... clustering ablation shows 36% F1 improvement from our post-processing algorithm. We validate findings through...”
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Strict Hierarchy for Quantum Channel Certification to Unitary di Chen, Kean, Wang, Qisheng, Zhang, Zhicheng

Sommario: “... algorithms for this problem, settling the query complexities in three access models with increasing power...”
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Programmatic Context Augmentation for LLM-based Symbolic Regression di Liu, Hao, Yang, Xiao-Wen, Sehgal, Atharva, Wang, Yixin, Guo, Lan-Zhe, Li, Yu-Feng, Yue, Yisong

Sommario: “..., primarily based on genetic algorithms and related evolutionary methods, have proven useful but suffer from...”
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ASIA: an Autonomous System Identification Agent di Piga, Dario, Forgione, Marco

Sommario: “... of model class, training algorithm, and hyperparameter tuning is still largely left to empirical trial...”
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Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance di Yan, Kai, Schwing, Alexander G., Wang, Yu-Xiong

Sommario: “... Large Language Models (LLMs) with chain-of-thought rollouts for many tasks such as math and coding...”
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Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning di Kang, Hyungkyu, Kim, Byeongchan, Oh, Min-hwan

Sommario: “..., we propose Latent-Aligned Value Learning (LAVL), an offline GCRL algorithm that integrates latent...”
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ResearchLoop: An Evidence-Gated Control Plane for AI-Assisted Research di Xia, Yihan, Wang, Taotao

Sommario: “..., transition rules, claim-admission algorithm, and insight-compounding mechanism. It also reports the full...”
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Discovery of EDA‐Complex Photochemical Reactions Using Computational Vision di Rodrigo C. Silva, Gabriel M. F. Batista, Timothy J. Brocksom, Kleber T. de Oliveira

Sommario: “... analysis. An algorithm was designed to automatically identify EDA‐complex reactive mixtures in solution...”
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Exploring the mathematic equations behind the materials science data using interpretable symbolic regression di Guanjie Wang, Erpeng Wang, Zefeng Li, Jian Zhou, Zhimei Sun

Sommario: “... on the underlying theories, fundamental flowcharts, various techniques, implemented codes, and application fields...”
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TG Vascutrack: A User‐Friendly and Open‐Source Software for Automated Extraction of Arterial Diameter and Velocity Profile Data From Vascular Ultrasound Videos di Paolo Tecchio, Alessandro Gentilin

Sommario: “... lacks free, open‐source options suitable for professionals without coding experience. These programs...”
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A Skewed and Heavy-Tailed Latent Random Field Model for Spatial Extremes di Mahmoudian, Behzad

Sommario: “... prediction is done with a well-known Gibbs sampling algorithm, including slice sampling and adaptive...”
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Code and Dataset for: Deep Learning-Assisted Asbestos Screening in Soil: A Hierarchical Statistical Approach to Error Propagation di Wang, Hairong

Sommario: “...; <ol> <li> <p><strong>AI Implementation:</strong> Source code for the two...”
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