Suchergebnisse - decoding (Algorithmssic OR algorithm)

Accurate de novo sequencing of the modified proteome with OmniNovo von Chen, Yuhan, Qu, Shang, Gao, Zhiqiang, Yang, Yuejin, Zhang, Xiang, Xu, Sheng, Mao, Xinjie, Qian, Liujia, Wei, Jiaqi, Qiu, Zijie, You, Chenyu, Bai, Lei, Ding, Ning, Guo, Tiannan, Zhou, Bowen, Sun, Siqi

Inhaltsangabe: “… decoding algorithm with rigorous false discovery rate estimation, OmniNovo achieves state-of-the-art …”
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RIS-Enhanced Information-Decoupled Symbiotic Radio Over Broadcasting Signals von Cai, Shu, Liu, Ya-Feng, Zhan, Jun, Zhang, Qi

Inhaltsangabe: “… conventional SR, the BRx performs energy detection and never decodes the primary signal, thereby removing …”
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Pool-based Active Learning as Noisy Lossy Compression: Characterizing Label Complexity via Finite Blocklength Analysis von Sugiyama, Kosuke, Uchida, Masato

Inhaltsangabe: “… to noisy symbol observations, data selection to compression, and learning to decoding. This correspondence …”
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Non-binary LDPC codes for Data Storage von Bocharova, Irina, Kudryashov, Boris, Hollmann, Henk D. L., Skachek, Vitaly

Inhaltsangabe: “… of regular non-binary LDPC codes under maximum-likelihood decoding. An algorithm for finding the ultimate …”
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Fronthaul Compression for Uplink Massive MIMO using Matrix Decomposition von P, Aswathylakshmi, Ganti, Radha Krishna

Inhaltsangabe: “… an alternating minimisation algorithm for blind deconvolution of the received data matrix that provides …”
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A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas von Berenger, Zoé, Denis, Loïc, Tupin, Florence, Ferro-Famil, Laurent, Huang, Yue

Inhaltsangabe: “… in the form of iterative minimization algorithms. We show that light-weight neural networks can be trained …”
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[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models von Casco-Rodriguez, Josue, Kemere, Caleb, Baraniuk, Richard G.

Inhaltsangabe: “… learning. One such application is neural decoding for neuroprostheses. In 2020, Burkhart et al. thoroughly …”
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Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe von Ziarko, Alicja, Jiang, Albert Q., Piotrowski, Bartosz, Li, Wenda, Jamnik, Mateja, Miłoś, Piotr

Inhaltsangabe: “… -optimal fashion, given a suite of pre-trained decoder-only language models. Our innovation is an algorithm …”
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MSE Minimization in RIS-Aided MU-MIMO with Discrete Phase Shifts and Fronthaul Quantization von Ramezani, Parisa, Khorsandmanesh, Yasaman, Björnson, Emil

Inhaltsangabe: “… squared error (MSE) minimization problem and propose an algorithm based on the block coordinate descent …”
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Thinner Latent Spaces: Detecting Dimension and Imposing Invariance with Conformal Autoencoders von Kevrekidis, George A., Ahmad, Zan, Maggioni, Mauro, Villar, Soledad, Kevrekidis, Yannis G.

Inhaltsangabe: “… of their tangent space), while simultaneously computing encoding and decoding (embedding) maps. We outline …”
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Pseudo-Nonlinear Data Augmentation: A Constrained Energy Minimization Viewpoint von Hu, Pingbang, Sugiyama, Mahito

Inhaltsangabe: “… the structure of the data itself, supporting efficient and explicit encoding and decoding procedures. We …”
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Approximately Aligned Decoding von Melcer, Daniel, Gonugondla, Sujan, Perera, Pramuditha, Qian, Haifeng, Chiang, Wen-Hao, Wang, Yanjun, Jain, Nihal, Garg, Pranav, Ma, Xiaofei, Deoras, Anoop

Inhaltsangabe: “… efficiency, inspired by algorithms from the speculative decoding literature. AprAD allows for the generation …”
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Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders von Zhu, Xiaofeng, Mandivarapu, Jaya Krishna

Inhaltsangabe: “… ) a post-processing algorithm that leverages knowledge triplets in RAG context to correct …”
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Clarke Transform and Encoder-Decoder Architecture for Arbitrary Joints Locations in Displacement-Actuated Continuum Robots von Grassmann, Reinhard M., Burgner-Kahrs, Jessica

Inhaltsangabe: “… modified Clarke transform opens new opportunities in mechanical design and algorithmic approaches beyond …”
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Real-time adaptation of quantum noise channel estimates von Daguerre, Lucas, Sarovar, Mohan

Inhaltsangabe: “… and are desirable for informing quantum error correction decoders. These estimates can be obtained by resource …”
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Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation von de Mijolla, Damien, Saddiq, Hannan, Moore, Kim

Inhaltsangabe: “… inputs. To address this, we propose a novel decoding algorithm that enhances response consistency across …”
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The Oval Strikes Back von Di Giusto, Andrea, Ravagnani, Alberto, Soljanin, Emina

Inhaltsangabe: “… to analyze the PIR properties of the considered MDS matrices and present a one-step majority-logic decoding …”
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83‐3: Neural Network‐Empowered Hologram Compression for Computational Near‐Eye Displays von Hyunmin Ban, Wenbin Zhou, Xiangyu Meng, Feifan Qu, Yifan Peng

Inhaltsangabe: “… ) algorithms face high computational demands. This work presents an efficient hologram generation …”
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Continual Pre-training of MoEs: How robust is your router? von Thérien, Benjamin, Joseph, Charles-Étienne, Sarwar, Zain, Panda, Ashwinee, Das, Anirban, Zhang, Shi-Xiong, Rawls, Stephen, Sahu, Sambit, Belilovsky, Eugene, Rish, Irina

Inhaltsangabe: “… of decoder-only MoE transformers, however, it is unclear how the routing algorithm will impact continual pre …”
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Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification von Hoang, Anh T., Viharos, Zsolt J.

Inhaltsangabe: “… predictions from diverse datasets. Traditional machine learning algorithms rely on well-defined input …”
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