Risultati della ricerca - decoding (algorithm OR Algorithmssics)

Accurate de novo sequencing of the modified proteome with OmniNovo di 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

Sommario: “... decoding algorithm with rigorous false discovery rate estimation, OmniNovo achieves state-of-the-art...”
Testo

RIS-Enhanced Information-Decoupled Symbiotic Radio Over Broadcasting Signals di Cai, Shu, Liu, Ya-Feng, Zhan, Jun, Zhang, Qi

Sommario: “... conventional SR, the BRx performs energy detection and never decodes the primary signal, thereby removing...”
Testo

Pool-based Active Learning as Noisy Lossy Compression: Characterizing Label Complexity via Finite Blocklength Analysis di Sugiyama, Kosuke, Uchida, Masato

Sommario: “... to noisy symbol observations, data selection to compression, and learning to decoding. This correspondence...”
Testo

Non-binary LDPC codes for Data Storage di Bocharova, Irina, Kudryashov, Boris, Hollmann, Henk D. L., Skachek, Vitaly

Sommario: “... of regular non-binary LDPC codes under maximum-likelihood decoding. An algorithm for finding the ultimate...”
Testo

Fronthaul Compression for Uplink Massive MIMO using Matrix Decomposition di P, Aswathylakshmi, Ganti, Radha Krishna

Sommario: “... an alternating minimisation algorithm for blind deconvolution of the received data matrix that provides...”
Testo

A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas di Berenger, Zoé, Denis, Loïc, Tupin, Florence, Ferro-Famil, Laurent, Huang, Yue

Sommario: “... in the form of iterative minimization algorithms. We show that light-weight neural networks can be trained...”
Testo

[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models di Casco-Rodriguez, Josue, Kemere, Caleb, Baraniuk, Richard G.

Sommario: “... learning. One such application is neural decoding for neuroprostheses. In 2020, Burkhart et al. thoroughly...”
Testo

Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe di Ziarko, Alicja, Jiang, Albert Q., Piotrowski, Bartosz, Li, Wenda, Jamnik, Mateja, Miłoś, Piotr

Sommario: “...-optimal fashion, given a suite of pre-trained decoder-only language models. Our innovation is an algorithm...”
Testo

MSE Minimization in RIS-Aided MU-MIMO with Discrete Phase Shifts and Fronthaul Quantization di Ramezani, Parisa, Khorsandmanesh, Yasaman, Björnson, Emil

Sommario: “... squared error (MSE) minimization problem and propose an algorithm based on the block coordinate descent...”
Testo

Thinner Latent Spaces: Detecting Dimension and Imposing Invariance with Conformal Autoencoders di Kevrekidis, George A., Ahmad, Zan, Maggioni, Mauro, Villar, Soledad, Kevrekidis, Yannis G.

Sommario: “... of their tangent space), while simultaneously computing encoding and decoding (embedding) maps. We outline...”
Testo

Pseudo-Nonlinear Data Augmentation: A Constrained Energy Minimization Viewpoint di Hu, Pingbang, Sugiyama, Mahito

Sommario: “... the structure of the data itself, supporting efficient and explicit encoding and decoding procedures. We...”
Testo

Approximately Aligned Decoding di Melcer, Daniel, Gonugondla, Sujan, Perera, Pramuditha, Qian, Haifeng, Chiang, Wen-Hao, Wang, Yanjun, Jain, Nihal, Garg, Pranav, Ma, Xiaofei, Deoras, Anoop

Sommario: “... efficiency, inspired by algorithms from the speculative decoding literature. AprAD allows for the generation...”
Testo

Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders di Zhu, Xiaofeng, Mandivarapu, Jaya Krishna

Sommario: “...) a post-processing algorithm that leverages knowledge triplets in RAG context to correct...”
Testo

Clarke Transform and Encoder-Decoder Architecture for Arbitrary Joints Locations in Displacement-Actuated Continuum Robots di Grassmann, Reinhard M., Burgner-Kahrs, Jessica

Sommario: “... modified Clarke transform opens new opportunities in mechanical design and algorithmic approaches beyond...”
Testo

Real-time adaptation of quantum noise channel estimates di Daguerre, Lucas, Sarovar, Mohan

Sommario: “... and are desirable for informing quantum error correction decoders. These estimates can be obtained by resource...”
Testo

Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation di de Mijolla, Damien, Saddiq, Hannan, Moore, Kim

Sommario: “... inputs. To address this, we propose a novel decoding algorithm that enhances response consistency across...”
Testo

The Oval Strikes Back di Di Giusto, Andrea, Ravagnani, Alberto, Soljanin, Emina

Sommario: “... to analyze the PIR properties of the considered MDS matrices and present a one-step majority-logic decoding...”
Testo

83‐3: Neural Network‐Empowered Hologram Compression for Computational Near‐Eye Displays di Hyunmin Ban, Wenbin Zhou, Xiangyu Meng, Feifan Qu, Yifan Peng

Sommario: “...) algorithms face high computational demands. This work presents an efficient hologram generation...”
Testo

Continual Pre-training of MoEs: How robust is your router? di Thérien, Benjamin, Joseph, Charles-Étienne, Sarwar, Zain, Panda, Ashwinee, Das, Anirban, Zhang, Shi-Xiong, Rawls, Stephen, Sahu, Sambit, Belilovsky, Eugene, Rish, Irina

Sommario: “... of decoder-only MoE transformers, however, it is unclear how the routing algorithm will impact continual pre...”
Testo

Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification di Hoang, Anh T., Viharos, Zsolt J.

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