Suchergebnisse - decoding (Algorithmsssic OR (algorithm OR Algorithmsssic))

Machine-Learning-Powered Neural Interfaces for Smart Prosthetics and Diagnostics von Shaeri, MohammadAli, Liu, Jinhan, Shoaran, Mahsa

Inhaltsangabe: “… in AI-driven decoding algorithms and energy-efficient System-on-Chip (SoC) platforms for next-generation …”
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Guided Speculative Inference for Efficient Test-Time Alignment of LLMs von Geuter, Jonathan, Mroueh, Youssef, Alvarez-Melis, David

Inhaltsangabe: “… We propose Guided Speculative Inference (GSI), a novel algorithm for efficient reward-guided …”
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The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset von Landau, Gilad, Özdogan, Miran, Elvers, Gereon, Mantegna, Francesco, Somaiya, Pratik, Jayalath, Dulhan, Kurth, Luisa, Kwon, Teyun, Shillingford, Brendan, Farquhar, Greg, Jiang, Minqi, Jerbi, Karim, Abdelhedi, Hamza, Ramos, Yorguin Mantilla, Gulcehre, Caglar, Woolrich, Mark, Voets, Natalie, Jones, Oiwi Parker

Inhaltsangabe: “… The advance of speech decoding from non-invasive brain data holds the potential for profound …”
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D-CNN and VQ-VAE Autoencoders for Compression and Denoising of Industrial X-ray Computed Tomography Images von Hejazi, Bardia, Chand, Keerthana, Fritsch, Tobias, Bruno, Giovanni

Inhaltsangabe: “… autoencoders and examines how these compression algorithms affect the quality of the recovered data. Two …”
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DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving von Yang, Mingyu, Choi, Jae-Young, Moon, Kihyo, Jang, Minsung, Jeon, Eunjoo

Inhaltsangabe: “… Speculative decoding accelerates large language model inference, but its reliance on a fixed …”
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LLM DNA: Tracing Model Evolution via Functional Representations von Wu, Zhaomin, Zhao, Haodong, Wang, Ziyang, Guo, Jizhou, Wang, Qian, He, Bingsheng

Inhaltsangabe: “… the evolutionary tree of LLMs using phylogenetic algorithms, which align with shifts from encoder-decoder …”
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Layer codes as partially self-correcting quantum memories von Gu, Shouzhen, Caha, Libor, Choe, Shin Ho, He, Zhiyang, Kubica, Aleksander, Tang, Eugene

Inhaltsangabe: “… memories. First, we introduce two decoding algorithms for layer codes with provable guarantees for local …”
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A Gate-Based Quantum Genetic Algorithm for Real-Valued Global Optimization von Souza, Leandro C., Dardenne, Laurent E., Portugal, Renato

Inhaltsangabe: “… . In this model, individuals are represented by quantum circuits whose measurement outcomes are decoded into real …”
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EXACT: Explicit Attribute-Guided Decoding-Time Personalization von Yu, Xin, Xing, Hanwen, Xue, Lingzhou

Inhaltsangabe: “… context. While decoding-time personalization offers a scalable alternative to training-time methods …”
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CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference von Fei, Chao, Li, Guozhong, Liu, Chenxi, Kalnis, Panos

Inhaltsangabe: “… Long-context LLMs demand accurate inference at low latency, yet decoding becomes primarily …”
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A Universal Systematic Method to Generate Error Patterns on Memoryless Channels von Jalaleddine, Marwan, Li, Jiajie, Abbas, Syed Mohsin, Gross, Warren J.

Inhaltsangabe: “… The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has …”
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Randomness-Efficient Constructions of Capacity-Achieving List-Decodable Codes von Mosheiff, Jonathan, Resch, Nicolas, Shang, Kuo, Yuan, Chen

Inhaltsangabe: “… We wish to generate list-decodable codes over small alphabets using as little randomness …”
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Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning von Hayati, Haleh, Murguia, Carlos, van de Wouw, Nathan

Inhaltsangabe: “… of the true model parameters from the original algorithm. These encoded parameters can then be decoded …”
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Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures von Zimmerman, Robert, Craiu, Radu V., Leos-Barajas, Vianey

Inhaltsangabe: “… extension allows decoding of the hidden states based on information from multiple observations. However …”
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The Genomic Code: The genome instantiates a generative model of the organism von Mitchell, Kevin J., Cheney, Nick

Inhaltsangabe: “… encoded by the learning algorithm of evolution and decoded through the processes of development …”
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Entropy Polarization-Based Data Compression Without Frozen Set Construction von Ren, Zichang, Zhao, Yuping

Inhaltsangabe: “… systems, including sensitivity to the accuracy and computational complexity of the construction algorithm …”
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SASH: Decoding Community Structure in Graphs von Beemer, Allison, Bolkema, Jessalyn

Inhaltsangabe: “… with the resulting code's parameters. We then present a novel algorithm, SASH, to decode to estimated communities …”
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Large Language Model Partitioning for Low-Latency Inference at the Edge von Kafetzis, Dimitrios, Khalili, Ramin, Koutsopoulos, Iordanis

Inhaltsangabe: “… Large Language Models (LLMs) based on autoregressive, decoder-only Transformers generate text one …”
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MiniCPM4: Ultra-Efficient LLMs on End Devices von MiniCPM Team, Xiao, Chaojun, Li, Yuxuan, Han, Xu, Bai, Yuzhuo, Cai, Jie, Chen, Haotian, Chen, Wentong, Cong, Xin, Cui, Ganqu, Ding, Ning, Fan, Shengda, Fang, Yewei, Fu, Zixuan, Guan, Wenyu, Guan, Yitong, Guo, Junshao, Han, Yufeng, He, Bingxiang, Huang, Yuxiang, Ji, Baoxi, Kong, Cunliang, Li, Qiuzuo, Li, Siyuan, Li, Wenhao, Li, Xin, Li, Yanghao, Li, Yishan, Li, Zhen, Liu, Dan, Lin, Biyuan, Lin, Yankai, Long, Xiang, Lu, Quanyu, Lu, Yaxi, Luo, Peiyan, Lyu, Hongya, Ou, Litu, Pan, Yinxu, Pu, Lushi, Qu, Zekai, Shi, Qundong, Song, Zijun, Su, Jiayuan, Su, Zhou, Sun, Ao, Sun, Xianghui, Tang, Peijun, Wang, Fangzheng, Wang, Feng, Wang, Shuo, Wang, Yudong, Wang, Zheng, Wu, Yesai, Xiao, Zhenyu, Xie, Jie, Xie, Zihao, Xu, Xiaoyue, Yan, Yukun, Yuan, Jiarui, Zhang, Jinqian, Zhang, Kaihuo, Zhang, Lei, Zhang, Linyue, Zhang, Xueren, Zhang, Yudi, Zhao, Hengyu, Zhao, Weilin, Zhao, Weilun, Zhao, Yuanqian, Zheng, Zhi, Zhou, Chuyue, Zhou, Ge, Zhou, Jie, Zhou, Wei, Zhou, Yanghao, Zhou, Zihan, Zhou, Zixuan, Liu, Zhiyuan, Zeng, Guoyang, Jia, Chao, Li, Dahai, Sun, Maosong

Inhaltsangabe: “… : model architecture, training data, training algorithms, and inference systems. Specifically, in terms …”
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Parallel Sampling via Autospeculation von Anari, Nima, Baronio, Carlo, Chen, CJ, Haqi, Alireza, Koehler, Frederic, Li, Anqi, Vuong, Thuy-Duong

Inhaltsangabe: “… We present parallel algorithms to accelerate sampling via counting in two settings: any-order …”
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