Risultati della ricerca - (encoding OR decoding) ((Algorithmsssic OR Algorithmsssic) OR (algorithm OR algorithmics))

The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding di Wei, Xiaoxi, Narayan, Jyotindra, Faisal, A. Aldo

Sommario: “...Machine learning has enhanced the performance of decoding signals indicating human behaviour. EEG...”
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A quantum random access memory (QRAM) using a polynomial encoding of binary strings di Mukhopadhyay, Priyanka

Sommario: “...Quantum algorithms claim significant speedup over their classical counterparts for solving many...”
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Polarization-encoded photonic quantum-to-quantum Bernoulli factory based on a quantum dot source di Rodari, Giovanni, Hoch, Francesco, Suprano, Alessia, Giordani, Taira, Negro, Elena, Carvacho, Gonzalo, Spagnolo, Nicolò, Galvão, Ernesto F., Sciarrino, Fabio

Sommario: “... proposed quantum-to-quantum Bernoulli factory schemes encode both input and output variables in qubit...”
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Ptychographic estimation of qudit states encoded in the angular position and orbital angular momentum of single photons di da Costa, A. M., Neves, L.

Sommario: “... measurement in the Fourier basis. In the end, an iterative algorithm estimates the state from the collected...”
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TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching di Meng, Yue, Fan, Chuchu

Sommario: “... specifications due to the lack of a diverse STL dataset and encoders to effectively extract temporal logic...”
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Low-depth random Clifford circuits for quantum coding against Pauli noise using a tensor-network decoder di Darmawan, Andrew S., Nakata, Yoshifumi, Tamiya, Shiro, Yamasaki, Hayata

Sommario: “.... This analysis is made possible with our development of a tensor-network maximum-likelihood decoding algorithm...”
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Towards Effective and Efficient Non-autoregressive decoders for Conformer and LLM-based ASR using Block-based Attention Mask di Wang, Tianzi, Xie, Xurong, Jin, Zengrui, Geng, Mengzhe, Deng, Jiajun, Li, Zhaoqing, Hu, Shoukang, Hu, Shujie, Li, Guinan, Cui, Mingyu, Meng, Helen, Liu, Xunying

Sommario: “... across: a) The Conformer encoder-decoder ASR system with filterbank input features; b) its integration...”
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Density-encoded line integral convolution: polarisation optical axis tractography using centroidal Voronoi tessellation di Tharan, Darven Murali, Bonesi, Marco, Everett, Daniel, McGoverin, Cushla, McGlashan, Sue, Thambyah, Ashvin, Vanholsbeeck, Frédérique

Sommario: “...Visualising complex polarimetry optical axis fields is challenging. We introduce density-encoded...”
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Structural encoding with classical codes for computational-basis bit-flip correction in the early fault-tolerant regime di Sohn, IlKwon, Lee, Changyeol, Song, Wooyeong, Bae, Kwangil, Lee, Wonhyuk

Sommario: “.... The approach leverages the asymmetric structure of many key algorithms, where problem-defining diagonal...”
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Multi-frequency control and measurement of a spin-7/2 system encoded in a transmon qudit di Champion, Elizabeth, Wang, Zihao, Parker, Rayleigh, Blok, Machiel

Sommario: “... algorithms relative to their qubit counterparts given efficient local qudit control and measurement. However...”
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Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound di Zachary Szentimrey, Abdullah Al‐Hayali, Sandrine de Ribaupierre, Aaron Fenster, Eranga Ukwatta

Sommario: “...Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3...”
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A 95.5Gb/s 29.6ns worst-case latency ORBGRAND decoder for 6G xURLLC di Condo, Carlo

Sommario: “... Reliability Bits GRAND (ORBGRAND) are powerful universal decoding algorithms that work well with short, high...”
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Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder di Moen, Kristoffer S., Aarnes, Jørgen R., Ellingsen, Simen Å., Kutz, J. Nathan

Sommario: “... of the surface height variation, by a novel neural network algorithm known as the {\em SHallow REcurrent Decoder...”
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An updated efficient galaxy morphology classification model based on ConvNeXt encoding with UMAP dimensionality reduction di Fang, Guanwen, Zhu, Shiwei, Xu, Jun, Lu, Shiying, Zhou, Chichun, Dai, Yao, Lin, Zesen, Kong, Xu

Sommario: “... from 50 in the original framework), achieving significant computational savings. The 20 algorithmically...”
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MP-FVM: Enhancing Finite Volume Method for Water Infiltration Modeling in Unsaturated Soils via Message-passing Encoder-decoder Network di Song, Zeyuan, Jiang, Zheyu

Sommario: “..., encoder-decoder neural network architecture, Sobolev training, and message passing mechanism in a finite...”
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On-chip real-time detection of optical frequency variations with ultrahigh resolution using the sine-cosine encoder approach di Yao, X. Steve, Yang, Yulong, Ma, Xiaosong, Lin, Zhongjin, Zhu, Yuntao, Ke, Wei, Tan, Heyun, Wang, Xichen, Cai, Xinlun

Sommario: “..., utilizing the sine-cosine encoder principle, for high-speed and high-resolution real-time OFV measurement...”
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A novel step-by-step procedure for the kinematic calibration of robots using a single draw-wire encoder di Boschetti, Giovanni, Sinico, Teresa

Sommario: “..., and they range considerably in the type of measurement system and identification algorithm used. Our aim...”
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A profiled side‐channel attack detection using deep learning model with capsule auto‐encoder network di Raja Maheswari, Marudhamuthu Krishnamurthy

Sommario: “...A profiled side‐channel attack detection using deep learning model with capsule auto‐encoder...”
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Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding di Liu, Jiacheng, Cohen, Andrew, Pasunuru, Ramakanth, Choi, Yejin, Hajishirzi, Hannaneh, Celikyilmaz, Asli

Sommario: “... present a novel value-guided decoding algorithm called PPO-MCTS, which can integrate the value network...”
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I see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks di Kang, Taeho, Chen, Yiyu, Wallraven, Christian

Sommario: “...)-based noise rejection methods in neural network classifier-based decoding of electroencephalography (EEG...”
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