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

Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers di MacKnight, Robert, Regio, Jose Emilio, Ethier, Jeffrey G., Baldwin, Luke A., Gomes, Gabe

Sommario: “...Modern optimization in experimental chemistry employs algorithmic search through black-box...”
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Deep Reinforcement Learning for Drone Route Optimization in Post-Disaster Road Assessment di Gong, Huatian, Sheu, Jiuh-Biing, Wang, Zheng, Yang, Xiaoguang, Yan, Ran

Sommario: “... for algorithm design, making them unsuitable for time-sensitive disaster scenarios. This study proposes...”
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Segmentation and Tracking of Eruptive Solar Phenomena with Convolutional Neural Networks di Stepanyuk, Oleg, Kozarev, Kamen

Sommario: “... detection and tracking algorithms currently in use have restricted applicability and complicated processing...”
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Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution di Wang, Yinjian, Li, Wei, Gui, Yuanyuan, Vivone, Gemine

Sommario: “... inspiration from the linearized alternating direction method of multipliers to design an efficient algorithm...”
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Impact of Cosmic Ray Acceleration on the Early Evolution of Bow Shocks around Massive Runaway Stars di Watanabe, Keito, Walch, Stefanie, Rathjen, Tim-Eric, Mackey, Jonathan, Nürnberger, Pierre, Girichidis, Philipp

Sommario: “... magnetohydrodynamic simulations in the advection-diffusion limit. We use the Eulerian grid-based code FLASH, where...”
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Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice di Innocenti, Francesco

Sommario: “... brain-inspired algorithm called predictive coding (PC). Unlike BP, PC networks (PCNs) perform inference...”
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Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization di Lu, Yi, Xue, Xiaoming, Zhang, Kai, Zhang, Liming, Chen, Guodong, Cao, Chenming, Liu, Piyang, Tan, Kay Chen

Sommario: “... method in boosting various SAS algorithms for both multi-task and many-task problems is empirically...”
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TensorRight: Automated Verification of Tensor Graph Rewrites di Arora, Jai, Lu, Sirui, Jain, Devansh, Xu, Tianfan, Houshmand, Farzin, Phothilimthana, Phitchaya Mangpo, Lesani, Mohsen, Narayanan, Praveen, Murthy, Karthik Srinivasa, Bodik, Rastislav, Sabne, Amit, Mendis, Charith

Sommario: “...Tensor compilers, essential for generating efficient code for deep learning models across various...”
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$\nabla\cdot{B}=0$ versus the Universe di Steinwandel, Ulrich P., Price, Daniel J.

Sommario: “...We implement the constrained divergence cleaning algorithm of \citet{Tricco2016...”
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Functional Program Synthesis with Higher-Order Functions and Recursion Schemes di Fernandes, Matheus Campos

Sommario: “.... This text presents 2 novel GP algorithms that synthesize pure, typed, and functional programs: HOTGP...”
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CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning di Su, Songqiao, Sun, Xiaofei, Li, Xiaoya, Wang, Albert, Li, Jiwei, Shum, Chris

Sommario: “... the algorithm based on the heuristic's suggestion; and +11.4% over the most competitive cuBLASLt-AutoTuning...”
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TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs di Zhang, Jun, Wang, Teng, Ge, Yuying, Ge, Yixiao, Li, Xinhao, Shan, Ying, Wang, Limin

Sommario: “... into building MLLMs with strong VTG ability, along two primary dimensions: data quality and algorithmic design...”
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Learning to Discover at Test Time di Yuksekgonul, Mert, Koceja, Daniel, Li, Xinhao, Bianchi, Federico, McCaleb, Jed, Wang, Xiaolong, Kautz, Jan, Choi, Yejin, Zou, James, Guestrin, Carlos, Sun, Yu

Sommario: “... attempted, across mathematics, GPU kernel engineering, algorithm design, and biology. TTT-Discover sets...”
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OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale di Shi, Jingze, Peng, Zhangyang, Zhu, Yizhang, Wu, Yifan, Liu, Guang, Luo, Yuyu

Sommario: “... specialization and hardware execution efficiency. We propose OmniMoE, a system-algorithm co-designed framework...”
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Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UAV Hyperspectral Imagery di Lekhak, Sagar, Pulakurthi, Prasanna Reddy, Bhatta, Ramesh, Ientilucci, Emmett J.

Sommario: “... processing algorithms have emerged as a promising tool to accelerate large-area surveys while reducing risk...”
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EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages di Sharma, Aman, Chopra, Paras

Sommario: “...Large language models achieve near-ceiling performance on code generation benchmarks, yet most...”
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cuRAMSES: Scalable AMR Optimizations for Large-Scale Cosmological Simulations di Kim, Juhan

Sommario: “...We present cuRAMSES, a suite of advanced domain decomposition strategies and algorithmic...”
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Hyperspectral Anomaly Detection Using Einstein Fuzzy Computing and Quantum Neural Network di Lin, Chia-Hsiang, Young, Si-Sheng, Langari, Reza

Sommario: “... background spectra, which are termed anomalies. However, many widely used HAD algorithms in the RS community...”
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Introduction to Multiple Antenna Communications and Reconfigurable Surfaces di Björnson, Emil, Tuğfe Demir, Özlem

Sommario: “..., algorithms, and practical implications. The basics of wireless localization, radar sensing, and controllable...”
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Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling di Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut

Sommario: “... operation duration in response to blade actions. A gradient‐based, multiobjective optimization algorithm...”
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