Résultats de la recherche - decoding (algorithm OR Algorithmssics)

Sequence‐Defined Oligourethane Isomeric Mixtures for Irreversible Encryption par Lingxiao Guo, Qiangqiang Shi, Jin Zhang, Chunlai Yang, Jiajia Tan, Keyu Li, Jinming Hu, Shiyong Liu

Table des matières: “… can be retrieved only through a bespoke MS/MS decoding algorithm coupled with a predefined ASCII…”
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Manifold Learning by Mixture Models of VAEs for Inverse Problems par Alberti, Giovanni S., Hertrich, Johannes, Santacesaria, Matteo, Sciutto, Silvia

Table des matières: “… of variational autoencoders. Here, every encoder-decoder pair represents one chart of a manifold. We propose a…”
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The domain wall color code par Tiurev, Konstantin, Pesah, Arthur, Derks, Peter-Jan H. S., Roffe, Joschka, Eisert, Jens, Kesselring, Markus S., Reiner, Jan-Michael

Table des matières: “… restriction decoder based on a matching algorithm. The proposed code is identified as a comparably resource…”
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Toward distortion-aware change detection in realistic scenarios par Zhao, Yitao, Li, Heng-Chao, Liu, Nanqing, Wang, Rui

Table des matières: “… systems. Geometric distortion caused by coordinate shifting remains a thorny issue for CD algorithms…”
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EEND-M2F: Masked-attention mask transformers for speaker diarization par Härkönen, Marc, Broughton, Samuel J., Samarakoon, Lahiru

Table des matières: “… of transformer decoders, in which irrelevant frames are explicitly masked from the cross attention using…”
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Event-based Asynchronous HDR Imaging by Temporal Incident Light Modulation par Wu, Yuliang, Tan, Ganchao, Chen, Jinze, Zhai, Wei, Cao, Yang, Zha, Zheng-Jun

Table des matières: “…, thereby triggering the pixel-independent event streams. The HDR image is subsequently decoded from…”
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Recurrent Drafter for Fast Speculative Decoding in Large Language Models par Cheng, Yunfei, Zhang, Aonan, Zhang, Xuanyu, Wang, Chong, Wang, Yi

Table des matières: “…We present Recurrent Drafter (ReDrafter), an advanced speculative decoding approach that achieves…”
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Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations par Foong, Tham Yik, Zhang, Heng, Yuan, Mao Po, Vargas, Danilo Vasconcellos

Table des matières: “… Xenovert, an adaptive algorithm that can dynamically adapt to changes in input distribution. It is a…”
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Exploring and Improving Drafts in Blockwise Parallel Decoding par Kim, Taehyeon, Suresh, Ananda Theertha, Papineni, Kishore, Riley, Michael, Kumar, Sanjiv, Benton, Adrian

Table des matières: “… hampered by the slow inference speeds inherent in sequential token generation. Blockwise parallel decoding…”
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TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes par Maxey, Christopher, Choi, Jaehoon, Lee, Yonghan, Lee, Hyungtae, Manocha, Dinesh, Kwon, Heesung

Table des matières: “… Field (NeRF), wherein our algorithm stores a set of tiered feature vectors. The tiered feature vectors…”
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Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient par Li, Yang, Zhao, Feifei, Zhao, Dongcheng, Zeng, Yi

Table des matières: “… direct training of SNNs for various applications. The surrogate gradient (SG) algorithm has recently…”
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Open-Source Conversational AI with SpeechBrain 1.0 par Ravanelli, Mirco, Parcollet, Titouan, Moumen, Adel, de Langen, Sylvain, Subakan, Cem, Plantinga, Peter, Wang, Yingzhi, Mousavi, Pooneh, Della Libera, Luca, Ploujnikov, Artem, Paissan, Francesco, Borra, Davide, Zaiem, Salah, Zhao, Zeyu, Zhang, Shucong, Karakasidis, Georgios, Yeh, Sung-Lin, Champion, Pierre, Rouhe, Aku, Braun, Rudolf, Mai, Florian, Zuluaga-Gomez, Juan, Mousavi, Seyed Mahed, Nautsch, Andreas, Nguyen, Ha, Liu, Xuechen, Sagar, Sangeet, Duret, Jarod, Mdhaffar, Salima, Laperriere, Gaelle, Rouvier, Mickael, De Mori, Renato, Esteve, Yannick

Table des matières: “… models and the complete "recipes" of code and algorithms required for training them. This paper presents…”
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Menichetti's nonassociative $G$-crossed product algebras and Menichetti codes par Pumpluen, Susanne

Table des matières: “… of algebra they display symmetric and cyclic properties which promise efficient decoding algorithms. Well…”
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Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications par Zhou, Jiasi, Zhou, Cong, Mao, Yijie, Tellambura, Chintha

Table des matières: “… is proposed to efficiently manage interference, which carefully selects a subset of legacy users to decode…”
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Numerical Pruning for Efficient Autoregressive Models par Shen, Xuan, Song, Zhao, Zhou, Yufa, Chen, Bo, Liu, Jing, Zhang, Ruiyi, Rossi, Ryan A., Tan, Hao, Yu, Tong, Chen, Xiang, Zhou, Yufan, Sun, Tong, Zhao, Pu, Wang, Yanzhi, Gu, Jiuxiang

Table des matières: “… on compressing decoder-only transformer-based autoregressive models through structural weight pruning to improve…”
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NeuroIncept Decoder for High-Fidelity Speech Reconstruction from Neural Activity par Khanday, Owais Mujtaba, Pérez-Córdoba, José L., Mir, Mohd Yaqub, Najar, Ashfaq Ahmad, Gonzalez-Lopez, Jose A.

Table des matières: “…This paper introduces a novel algorithm designed for speech synthesis from neural activity…”
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EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics par Wang, Zirui, Song, Zhenxi, Guo, Yi, Liu, Yuxin, Xu, Guoyang, Zhang, Min, Zhang, Zhiguo

Table des matières: “…The development of EEG decoding algorithms confronts challenges such as data sparsity, subject…”
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Speculative Decoding and Beyond: An In-Depth Survey of Techniques par Hu, Yunhai, Liu, Zining, Dong, Zhenyuan, Peng, Tianfan, McDanel, Bradley, Zhang, Sai Qian

Table des matières: “… algorithmic innovations and system-level implementations, we examine deployment strategies across computing…”
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On Designing Novel ISI-Reducing Single Error Correcting Codes in an MCvD System par Nath, Tamoghno, Benerjee, Krishna Gopal, Banerjee, Adrish

Table des matières: “… with channel memory and noise. We have also provided encoding and decoding algorithms for the proposed codes…”
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Neural Parametric Mixtures for Path Guiding par Dong, Honghao, Wang, Guoping, Li, Sheng

Table des matières: “… to encode target distributions for path guiding algorithms. We propose to use a continuous and compact…”
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