Suchergebnisse - decoding (algorithmics OR (algorithmics OR (algorithm OR (algorithmics OR algorithmics))))

Phase Noise Detection via Expectation Propagation and Related Algorithms von Conti, Elisa, Vannucci, Armando, Piemontese, Amina, Colavolpe, Giulio

Inhaltsangabe: “… -passing algorithm based on factor graphs with an inherent ability to combine prior knowledge of system …”
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A Double Maximization Approach for Optimizing the LM Rate of Mismatched Decoding von Chen, Lingyi, Wu, Shitong, Li, Xinwei, Wu, Huihui, Wu, Hao, Zhang, Wenyi

Inhaltsangabe: “… abbreviated as LM rate), a key performance bound in mismatched decoding, by optimizing the channel input …”
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Fronthaul Quantization-Aware MU-MIMO Precoding for Sum Rate Maximization von Khorsandmanesh, Yasaman, Björnson, Emil, Jaldén, Joakim

Inhaltsangabe: “… with the quantizer. We solve this non-convex mixed-integer problem to local optimality by a novel iterative algorithm …”
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A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces von Cui, Yuntian, Shen, Xinke, Zhang, Dan, Yang, Chen

Inhaltsangabe: “… detection. The proposed algorithm achieved the best AUC performance in single-trial binary classification …”
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Access Point Selection for Bistatic Backscatter Communication in Cell-Free MIMO von Kaplan, Ahmet, Osorio, Diana P. M., Larsson, Erik G.

Inhaltsangabe: “… ) detector to decode the BD information bits is derived. Then, the exact probability of error …”
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Mode-GS: Monocular Depth Guided Anchored 3D Gaussian Splatting for Robust Ground-View Scene Rendering von Lee, Yonghan, Choi, Jaehoon, Jung, Dongki, Yun, Jaeseong, Ryu, Soohyun, Manocha, Dinesh, Yeon, Suyong

Inhaltsangabe: “… We present a novel-view rendering algorithm, Mode-GS, for ground-robot trajectory datasets. Our …”
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SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications von Diakonikolas, Ilias, Hopkins, Samuel B., Pensia, Ankit, Tiegel, Stefan

Inhaltsangabe: “… -certifiably subgaussian} -- a condition that yields efficient learning algorithms for a wide variety of high …”
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LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance von Sun, Huawei, Vysotskaya, Nastassia, Sukianto, Tobias, Feng, Hao, Ott, Julius, Peng, Xiangyuan, Servadei, Lorenzo, Wille, Robert

Inhaltsangabe: “… Recently, radar-camera fusion algorithms have gained significant attention as radar sensors provide …”
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Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning von Lin, Chaofan, Tang, Jiaming, Yang, Shuo, Wang, Hanshuo, Tang, Tian, Tian, Boyu, Stoica, Ion, Han, Song, Gao, Mingyu

Inhaltsangabe: “… hot research topic. However, current algorithms such as sparse attention or key-value (KV) cache …”
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GFM-Planner: Perception-Aware Trajectory Planning with Geometric Feature Metric von Lin, Yue, Zhang, Xiaoxuan, Liu, Yang, Wang, Dong, Lu, Huchuan

Inhaltsangabe: “… (MEM) to efficiently store GFM values across the environment. A constant-time decoding algorithm …”
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Exploiting Movable Antennas in NOMA Networks: Joint Beamforming, Power Allocation and Antenna Position Optimization von Zhou, Yufeng, Chen, Wen, Wu, Qingqing, Zhu, Xusheng, Li, Zhendong, Wang, Kunlun, Wu, Qiong

Inhaltsangabe: “… ) and users are equipped with MA, and a predetermined successive interference cancellation (SIC) decoding …”
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LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness von Ye, Zongli, Lian, Jiachen, Gupta, Akshaj, Zhou, Xuanru, Li, Haodong, Patel, Krish, Park, Hwi Joo, Zhou, Dingkun, Guo, Chenxu, Li, Shuhe, Wang, Sam, Zhou, Iris, Cho, Cheol Jun, Ezzes, Zoe, Vonk, Jet M. J., Morin, Brittany T., Bogley, Rian, Wauters, Lisa, Miller, Zachary A., Gorno-Tempini, Maria Luisa, Anumanchipalli, Gopala

Inhaltsangabe: “… recognition that combines a similarity-aware local alignment algorithm with a constrained CTC training …”
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Fast Inference via Hierarchical Speculative Decoding von Mohri, Clara, Kaplan, Haim, Schuster, Tal, Mansour, Yishay, Globerson, Amir

Inhaltsangabe: “… to the number of tokens generated. Speculative decoding reduces this latency without sacrificing output quality …”
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Assessing the Information Content of Individual Spikes in Population-Level Models of Neural Spiking Activity von Ghahari, Azar, Eden, Uri T.

Inhaltsangabe: “… In the last decade, there have been major advances in clusterless decoding algorithms for neural …”
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Locomotion Decoding ( LocoD ): An Open‐Source and Modular Platform for Researching Control Algorithms for Lower Limb Assistive Devices von Bahareh Ahkami, Kirstin Ahmed, Morten B. Kristoffersen, Max Ortiz-Catalan

Inhaltsangabe: “… of investigating and benchmarking control algorithms. We validated our locomotion decoding (LocoD) software …”
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Decoding rank metric Reed-Muller codes von Couvreur, Alain, Pratihar, Rakhi

Inhaltsangabe: “… In this article, we investigate the decoding of the rank metric Reed--Muller codes introduced …”
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Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction von Pang, Jiayun, Vulić, Ivan

Inhaltsangabe: “… of (SMILES-oriented) pretraining, fine-tuning sample efficiency, and decoding algorithms at inference. Our …”
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Efficient MoE Serving in the Memory-Bound Regime: Balance Activated Experts, Not Tokens von Yu, Yanpeng, Ma, Haiyue, Agarwal, Krish, Oswald, Nicolai, Huang, Qijing, Linsenmaier, Hugo, Mei, Chunhui, Zhao, Ritchie, Borkar, Ritika, Rouhani, Bita Darvish, Nellans, David, Krashinsky, Ronny, Khandelwal, Anurag

Inhaltsangabe: “… processing is memory-bound - a common occurrence in MoE serving, especially in the decode phase. Our analysis …”
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Two for One, One for All: Deterministic LDC-based Robust Computation in Congested Clique von Censor-Hillel, Keren, Fischer, Orr, Gelles, Ran, Soto, Pedro

Inhaltsangabe: “… corollary, any $T$-round Congested Clique algorithm can be compiled into an algorithm that completes in $T^2 …”
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No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models von Horvitz, Zachary, Singhal, Raghav, Zou, Hao, Domingo-Enrich, Carles, Yu, Zhou, Ranganath, Rajesh, McKeown, Kathleen

Inhaltsangabe: “… compute when left-to-right one-token-at-a-time decoding is on par with any-order decoding algorithms …”
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