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

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation di Deng, Tianchen, Shen, Guole, Chen, Xun, Yuan, Shenghai, Shen, Hongming, Peng, Guohao, Wu, Zhenyu, Wang, Jingchuan, Xie, Lihua, Wang, Danwei, Wang, Hesheng, Chen, Weidong

Sommario: “.... However, existing implicit SLAM algorithms are constrained to single-agent scenarios, and fall...”
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Characterization and Mitigation of Training Instabilities in Microscaling Formats di Su, Huangyuan, Kwun, Mujin, Gil, Stephanie, Kakade, Sham, Anand, Nikhil

Sommario: “... as models scale, algorithms improve, and new data is collected. To address this, next-generation hardware...”
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Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test di Li, Ziyue, Fan, Chenrui, Zhou, Tianyi

Sommario: “... model generalizes to limited and specified tasks during thousands epochs' training on algorithmic data...”
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Feedforward equilibrium trajectory optimization with GSPulse di Wai, J. T., Boyer, M. D., Battaglia, D. J., Merle, A., Carpanese, F., Felici, F., Kochan, M., Kolemen, E.

Sommario: “... introduce GSPulse, a novel algorithm for equilibrium trajectory optimization, that is more akin to a pulse...”
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Computational Verification of the Buratti--Horak--Rosa Conjecture for Small Integers and Inductive Approaches di Naik, Ranjan N

Sommario: “... backtracking algorithm. We report successful computational verification for all frequency partitions...”
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CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios di Fu, Teng, Chen, Yuwen, Chen, Zhuofan, Zhao, Mengyang, Li, Bin, Xue, Xiangyang

Sommario: “... the development of algorithms that remain effective in complex situations. We analyzed the dataset comprehensively...”
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Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models di Qu, Helen, Xie, Sang Michael

Sommario: “... for TextVQA, r=0.62 for VQAv2). Our findings highlight the need for algorithms and architectures that improve...”
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Wavelet-based Decoupling Framework for low-light Stereo Image Enhancement di Du, Shuangli, Yan, Siming, Shi, Zhenghao, You, Zhenzhen, Sun, Lu

Sommario: “... and synthetic images indicate that our algorithm offers significant advantages in light adjustment while...”
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Solving Formal Math Problems by Decomposition and Iterative Reflection di Zhou, Yichi, Zhao, Jianqiu, Zhang, Yongxin, Wang, Bohan, Wang, Siran, Chen, Luoxin, Wang, Jiahui, Chen, Haowei, Jie, Allan, Zhang, Xinbo, Wang, Haocheng, Trung, Luong, Ye, Rong, Hoang, Phan Nhat, Zhang, Huishuai, Sun, Peng, Li, Hang

Sommario: “..., performing comparably to human experts on complex reasoning tasks such as coding and mathematical reasoning...”
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Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation di Zhang, Hengyu, Shen, Chunxu, Sun, Xiangguo, Tan, Jie, Tan, Yanchao, Rong, Yu, Cheng, Hong, Yi, Lingling

Sommario: “... types of behavioral interactions. Multi-behavior recommendation algorithms aim to leverage various...”
Testo

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling di Li, Boheng, Wang, Junjie, Li, Yiming, Hu, Zhiyang, Qi, Leyi, Dong, Jianshuo, Wang, Run, Qiu, Han, Qin, Zhan, Zhang, Tianwei

Sommario: “...-SPSA, an efficient optimization algorithm that provides stable gradient estimates through the long...”
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A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence di Gao, Huan-ang, Geng, Jiayi, Hua, Wenyue, Hu, Mengkang, Juan, Xinzhe, Liu, Hongzhang, Liu, Shilong, Qiu, Jiahao, Qi, Xuan, Wu, Yiran, Wang, Hongru, Xiao, Han, Zhou, Yuhang, Zhang, Shaokun, Zhang, Jiayi, Xiang, Jinyu, Fang, Yixiong, Zhao, Qiwen, Liu, Dongrui, Ren, Qihan, Qian, Cheng, Wang, Zhenhailong, Hu, Minda, Wang, Huazheng, Wu, Qingyun, Ji, Heng, Wang, Mengdi

Sommario: “...-time), and analyze the algorithmic and architectural designs that guide evolutionary adaptation (e.g...”
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Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime di Abonizio, Hugo, Almeida, Thales, Lotufo, Roberto, Nogueira, Rodrigo

Sommario: “... augmentation algorithms to generate synthetic data to improve the knowledge acquisition capabilities. Our...”
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S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision di Xu, Huihui, Ye, Jin, Wang, Hongqiu, Ji, Changkai, Lin, Jiashi, Hu, Ming, Huang, Ziyan, Chen, Ying, Ma, Chenglong, Li, Tianbin, Liu, Lihao, He, Junjun, Zhu, Lei

Sommario: “... pseudo-mask algorithm, Fast Universal Agglomerative Pooling (UniAP). Each layer of UniAP can identify...”
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The BSN Application-I: Photometric Light Curve Solutions of Contact Binary Systems di Paki, Ehsan, Poro, Atila, Rowzati, Minoo Dokht Moosavi

Sommario: “... contact binary system light curves, supporting photometric data, and employing an MCMC algorithm...”
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XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads di Chaudhari, Tejas, J., Akarsh, Dewangan, Tanushree, Lokhande, Mukul, Vishvakarma, Santosh Kumar

Sommario: “... (16,1) formats, with layer adaptive hybrid-algorithmic implementation supporting ultra-low bit precision...”
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Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS di Jin, Can, Zhou, Yang, Zhang, Qixin, Peng, Hongwu, Zhang, Di, Dong, Zihan, Pavone, Marco, Han, Ligong, Hong, Zhang-Wei, Che, Tong, Metaxas, Dimitris N.

Sommario: “... results across eight benchmarks, including mathematics, scientific reasoning, and code generation...”
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SwiftF0: Fast and Accurate Monophonic Pitch Detection di Nieradzik, Lars

Sommario: “... on algorithmic estimators or laryngograph signals), we introduce \emph{SpeechSynth}. This synthetic speech...”
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New Tools, Programming Models, and System Support for Processing-in-Memory Architectures di Oliveira, Geraldo F.

Sommario: “... and arithmetic algorithm implementation for a given PUD instruction transparently to the programmer. Fourth, we...”
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Finding SSH Strict Key Exchange Violations by State Learning di Bäumer, Fabian, Maehren, Marcel, Brinkmann, Marcus, Schwenk, Jörg

Sommario: “... algorithms. In total, we learn 33 state machines, revealing significant differences in the implementations...”
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