Risultati della ricerca - decoding ((Algorithmssssics OR algorithm) OR (algorithm OR (Algorithmssssics OR algorithm)))

Does TabPFN Understand Causal Structures? di Swelam, Omar, Purucker, Lennart, Robertson, Jake, Raum, Hanne, Boedecker, Joschka, Hutter, Frank

Sommario: “... develop an adapter framework using a learnable decoder and causal tokens that extract causal signals from...”
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Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty di Chen, Ziyu, Jiang, Xinbei, Sun, Peng, Lin, Tao

Sommario: “... propose two algorithms designed to optimize the decoding path: a post-hoc selection method and a real-time...”
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Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference di Le, Hoang Anh Duy, Joshi, Sahil, Yang, Zeyu, Xu, Zhaozhuo, Shrivastava, Anshumali

Sommario: “... both prefill and decode phases. To address this challenge, we introduce Sketch&Walk Attention, a...”
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Conditional Sampling via Wasserstein Autoencoders and Triangular Transport di Al-Jarrah, Mohammad, Martino, Michele, Yim, Marcus, Hosseini, Bamdad, Taghvaei, Amirhossein

Sommario: “... is to modify a Wasserstein autoencoder to use a (block-) triangular decoder and impose an appropriate...”
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Quantum Anonymous Secret Sharing with Permutation Invariant Codes di Sikand, Varin, Nemec, Andrew

Sommario: “... cannot be accessed without an authorized set of shares present for decoding. In this work, we describe a...”
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Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training di Feng, Xidong, Wan, Ziyu, Wen, Muning, McAleer, Stephen Marcus, Wen, Ying, Zhang, Weinan, Wang, Jun

Sommario: “... the reasoning capabilities of LLMs by using tree-search algorithms to guide multi-step reasoning. These methods...”
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Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses di Abdelaleem, Eslam, Nemenman, Ilya, Martini, K. Michael

Sommario: “... that in a decoder graph (defining a generative model for data). Using this approach, we rederive existing...”
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Bayesian Recursive Information Optical Imaging: A Ghost Imaging Scheme Based on Bayesian Filtering di Du, Long-Kun, Hu, Chenyu, Liu, Shuang, Deng, Chenjin, Wang, Chaoran, Bo, Zunwang, Chen, Mingliang, Liu, Wei-Tao, Han, Shensheng

Sommario: “... in an encoded form and subsequently decoded via processing algorithms, which is quite in line...”
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Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth di Kögler, Kevin, Shevchenko, Alexander, Hassani, Hamed, Mondelli, Marco

Sommario: “.... Namely, the performance of the algorithm is the same as if it was compressing a Gaussian source...”
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Trainable Joint Channel Estimation, Detection and Decoding for MIMO URLLC Systems di Sun, Yi, Shen, Hong, Li, Bingqing, Xu, Wei, Zhu, Pengcheng, Hu, Nan, Zhao, Chunming

Sommario: “..., and decoding (JCDD) for MIMO URLLC systems encoded by short low-density parity-check (LDPC) codes. Specifically...”
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Cross-Scan Mamba with Masked Training for Robust Spectral Imaging di Tian, Wenzhe, Zeng, Haijin, Zhao, Yin-Ping, Chen, Yongyong, Wang, Zhen, Li, Xuelong

Sommario: “...Snapshot Compressive Imaging (SCI) enables fast spectral imaging but requires effective decoding...”
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First Order Stochastic Optimization with Oblivious Noise di Diakonikolas, Ilias, Karmalkar, Sushrut, Park, Jongho, Tzamos, Christos

Sommario: “... of inliers $α$ is less than $1/2$. Our main result is an efficient list-decodable learner that recovers a...”
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Online Optimization for Learning to Communicate over Time-Correlated Channels di Wu, Zheshun, Li, Junfan, Xu, Zenglin, Sun, Sumei, Liu, Jie

Sommario: “... on two specific tasks: optimizing channel decoders for time-correlated fading channels and selecting...”
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Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens di Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan

Sommario: “... communication. However, these GFVC algorithms are sometimes faced with unstable reconstruction quality...”
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Enhancing LMMSE Performance with Modest Complexity Increase via Neural Network Equalizers di Rozenfeld, Vadim, Raphaeli, Dan, Bialer, Oded

Sommario: “...The BCJR algorithm is renowned for its optimal equalization, minimizing bit error rate (BER) over...”
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Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention di Yuan, Jingyang, Gao, Huazuo, Dai, Damai, Luo, Junyu, Zhao, Liang, Zhang, Zhengyan, Xie, Zhenda, Wei, Y. X., Wang, Lean, Xiao, Zhiping, Wang, Yuqing, Ruan, Chong, Zhang, Ming, Liang, Wenfeng, Zeng, Wangding

Sommario: “... NSA, a Natively trainable Sparse Attention mechanism that integrates algorithmic innovations...”
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SPEX: Scaling Feature Interaction Explanations for LLMs di Kang, Justin Singh, Butler, Landon, Agarwal, Abhineet, Erginbas, Yigit Efe, Pedarsani, Ramtin, Ramchandran, Kannan, Yu, Bin

Sommario: “... channel decoding algorithm to efficiently identify important interactions. We perform experiments across...”
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SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning di Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Sommario: “... Learning framework that leverages novel algorithms and the Med-SAM foundation model to enhance information...”
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ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability di Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Sommario: “... encoder-decoder architecture with a forward-switching mechanism is introduced to unify embedding space...”
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SWIPT in Cell-Free Massive MIMO Using Stacked Intelligent Metasurfaces di Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Sommario: “...-decoding receivers (IRs) and the average sum of harvested energy (sum-HE) at the energy-harvesting...”
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