Risultati della ricerca - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

Agentic Planning with Reasoning for Image Styling via Offline RL di Mukherjee, Subhojyoti, Petrangeli, Stefano, Kveton, Branislav, Bui, Trung, Dernoncourt, Franck, Mukherjee, Arko

Sommario: “... and code are publicly available at the HuggingFace repository. (3) Offline RL training methods for learning...”
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Rigorous foundations of adaptive mode tracking in single-parametric Hermitian eigenvalue problems: existence theorems, error indicators, and application to SAFE dispersion analysis di Xiao, Dong, Sharif-Khodaei, Zahra, Aliabadi, M. H.

Sommario: “... wavenumber sampling algorithm that automatically refines the discretization where the MAC separation falls...”
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FSMC-Pose: Frequency and Spatial Fusion with Multiscale Self-calibration for Cattle Mounting Pose Estimation di Li, Fangjing, Wang, Zhihai, Ding, Xinxin, Liu, Haiyang, Gao, Ronghua, Wang, Rong, Zhu, Yao, Jin, Ming

Sommario: “.... Specifically, we design two algorithmic components for CattleMountNet: the Spatial Frequency Enhancement Block...”
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EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection di Zhu, Chenyang, Wang, Maorong, Liu, Jun, Chang, Ching-Chun, Echizen, Isao

Sommario: “... Reinforcement Learning algorithm using only low-cost binary labels, it eliminates the reliance on fine-grained...”
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TENSURE: Fuzzing Sparse Tensor Compilers (Registered Report) di Mahathevan, Kabilan, Zhang, Yining, Gulzar, Muhammad Ali, Sundararajah, Kirshanthan

Sommario: “... that expose corner cases in the code-generation phases of STCs. We propose a novel constraint-based generation...”
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BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding di Wang, Xiucheng, Zhang, Yue, Cheng, Nan

Sommario: “... yet challenging direction. Existing approaches either use LLMs as black-box solvers or code generators...”
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Benchmarking NIST-Standardised ML-KEM and ML-DSA on ARM Cortex-M0+: Performance, Memory, and Energy on the RP2040 di Chhetri, Rojin

Sommario: “... constrained 32-bit processor class. This paper presents the first isolated algorithm-level benchmarks of ML...”
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Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2 di Qiu, Yu-Ning, Zou, Lin-Feng, Wang, Jiong-Da, Yuan, Xue-Rong, Dai, Wang-Zhou

Sommario: “...-style derivations, following Shapiro's algorithmic program debugging (APD). In this view, refinement...”
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CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control di Zhang, Yifeng, Goel, Harsh, Li, Peizhuo, Damani, Mehul, Chinchali, Sandeep, Sartoretti, Guillaume

Sommario: “... traffic dynamics. We further propose an advanced MARL algorithm, named Neighbor-aware Policy Optimization...”
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OPTICS: Order-Preserved Test-Inverse Confidence Set for Number of Change-Points di Sun, Ao, Liu, Jingyuan

Sommario: “... the effectiveness of point-estimation algorithms. Through extensive simulation studies, we demonstrate the superior...”
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Graphilosophy: Graph-Based Digital Humanities Computing with The Four Books di Do, Minh-Thu, Le-Tran, Quynh-Chau, Nguyen-Mai, Duc-Duy, Nguyen, Thien-Trang, Le, Khanh-Duy, Tran, Minh-Triet, Nguyen, Tam V., Le, Trung-Nghia

Sommario: “... learning. By linking algorithmic representation with ethical inquiry, this research exemplifies how AI can...”
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Polyhedral Unmixing: Bridging Semantic Segmentation with Hyperspectral Unmixing via Polyhedral-Cone Partitioning di Bottenmuller, Antoine, Decencière, Etienne, Dokládal, Petr

Sommario: “... clustering algorithms, and show consistent improvements over recent deep and non-deep state-of-the-art...”
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DriftScript: A Domain-Specific Language for Programming Non-Axiomatic Reasoning Agents di Brady, Seamus

Sommario: “..., and compilation benchmarks. The source code is available at https://github.com/seamus-brady/DriftNARS. This paper...”
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Learning to Unscramble Feynman Loop Integrals with SAILIR di Shih, David

Sommario: “... on the Laporta algorithm require solving large systems of equations, leading to memory consumption that grows...”
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Learned Dictionaries with Total Variation and Non-Negativity for Single-Cell Microscopy: Convergence Theory and Deterministic Multi-Channel Cell Feature Unification di Altuntac, Erdem

Sommario: “...We introduce a variational dictionary learning algorithm with hybrid penalization for single-cell...”
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UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees di Chanda, Prateek, Agrawal, Prayas, Gurumoorthy, Karthik S., Ramakrishnan, Ganesh, Mishra, Bamdev, Jawanpuria, Pratik

Sommario: “...-based submodular objective. We prove that this reformulation enables a greedy algorithm with a $(1-1/e...”
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NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3) di Guan, Ya-nan, Zhang, Shaonan, Guo, Hang, Wang, Yawen, Fan, Xinying, Zhuang, Tianqu, Liang, Jie, Zeng, Hui, Qin, Guanyi, Qu, Lishen, Dai, Tao, Xia, Shu-Tao, Zhang, Lei, Timofte, Radu, Chen, Bin, Zhou, Yuanbo, Wang, Hongwei, Gao, Qinquan, Tong, Tong, Qian, Yanxin, You, Lizhao, Cong, Jingru, Xiong, Lei, Zhu, Shuyuan, Zhong, Zhi-Qiang, Lv, Kan, Yang, Yang, Tang, Kailing, Zhang, Minjian, Lei, Zhipei, Xu, Zhe, Zhang, Liwen, Gou, Dingyong, Wu, Yanlin, Li, Cong, Cui, Xiaohui, Liu, Jiajia, Xu, Guoyi, Jiang, Yaoxin, Shi, Yaokun, Tu, Jiachen, Wang, Liqing, Li, Shihang, Zhang, Bo, Wang, Biao, Xu, Haiming, Long, Xiang, Liao, Xurui, Zhai, Yanqiao, Li, Haozhe, Shi, Shijun, Zhang, Jiangning, Liu, Yong, Hu, Kai, Xu, Jing, Zeng, Xianfang, Liu, Yuyang, Wei, Minchen

Sommario: “.... We comprehensively evaluate the proposed algorithms utilizing a hybrid evaluation system...”
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Uncertainty Guided Exploratory Trajectory Optimization for Sampling-Based Model Predictive Control di Poyrazoglu, O. Goktug, Cao, Yukang, Moorthy, Rahul, Isler, Volkan

Sommario: “...-TO), a trajectory optimization algorithm that generates well-separated samples to achieve a better...”
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BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation" di Khasia, Vladimer

Sommario: “... Sketching with Invariant Scalars), an efficient backpropagation algorithm that fully decouples activation...”
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ML and Smartphones Assisted Real-Time Uplink Performance Prediction in 5G Cellular System di Rahman, Md Mahfuzur, Shuva, Jareen, Tripathi, Nishith, Liu, Lingjia, Reed, Jeffrey

Sommario: “...), modulation and coding scheme (MCS), throughput, transmission time interval (TTI), and block error rate (BLER...”
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