Risultati della ricerca - decoding (Algorithms OR (algorithmics OR algorithmics))

STAT: Shrinking Transformers After Training di Flynn, Megan, Wang, Alexander, Alvarez, Dean Edward, De Sa, Christopher, Damle, Anil

Sommario: “...We present STAT: a simple algorithm to prune transformer models without any fine-tuning. STAT...”
Testo

Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge di Wodzinski, Marek, Müller, Henning

Sommario: “... to performing biochemical labeling which is time-consuming and costly. Therefore, an automatic algorithm...”
Testo

Enhancing K-user Interference Alignment for Discrete Constellations via Learning di Mishra, Rajesh, Jafar, Syed, Vishwanath, Sriram, Kim, Hyeji

Sommario: “... a novel deep learning-based approach to design the encoder and decoder functions that aim...”
Testo

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems di Zhang, Zhuohui, He, Bin, Cheng, Bin, Li, Gang

Sommario: “... reinforcement learning (MARL) algorithm. TGCNet learns the topological structure of a dynamic directed graph...”
Testo

Adversarial Attacks Against Double RIS-Assisted MIMO Systems-based Autoencoder in Finite-Scattering Environments di Son, Bui Duc, Khanh, Ngo Nam, Van Chien, Trinh, Kim, Dong In

Sommario: “... autoencoder, where an adversary employs encoded and decoded datasets to create adversarial perturbation...”
Testo

Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations di Chen, Yuan, Khaliq, Abdul, Furati, Khaled M.

Sommario: “...-decoder framework, integrating Variational Quantum Circuits into Gated Recurrent Units and Long Short-Term...”
Testo

SLOs-Serve: Optimized Serving of Multi-SLO LLMs di Chen, Siyuan, Jia, Zhipeng, Khan, Samira, Krishnamurthy, Arvind, Gibbons, Phillip B.

Sommario: “... decoding. Leveraging this resource planning algorithm, SLOs-Serve effectively supports multi-SLOs and multi...”
Testo

Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding di Conzelmann, Alexander, Bamler, Robert

Sommario: “..., such as embedded sensors. Compression algorithms that reduce their size can mitigate these problems, provided...”
Testo

Unsupervised Learning for the Elementary Shortest Path Problem di Chen, Jingyi, Zhang, Xinyuan, Qian, Xinwu

Sommario: “... negative-cost cycles and embedding the desired algorithmic alignment. At inference time, a decoding...”
Testo

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics di Fan, Zhiwei, Wang, Tiangang, Huang, Kexin, Ying, Binwu, Zhou, Xiaobo

Sommario: “... advanced machine learning algorithms and multi-omics integrative modeling can decode complex biological...”
Testo

Supervised Learning as Lossy Compression: Characterizing Generalization and Sample Complexity via Finite Blocklength Analysis di Sugiyama, Kosuke, Uchida, Masato

Sommario: “..., and the model construction to a decoding process. By leveraging finite blocklength analysis, we derive lower...”
Testo

Parallelizable Neural Turing Machines di Faria, Gabriel, Junior, Arnaldo Candido

Sommario: “... execution. We evaluate the proposed architecture on a synthetic benchmark of algorithmic problems involving...”
Testo

Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding di Choukroun, Yoni, Wolf, Lior

Sommario: “...The design of optimal linear block codes capable of being efficiently decoded is of major concern...”
Testo

Automatic Task Detection and Heterogeneous LLM Speculative Decoding di Ge, Danying, Gao, Jianhua, Jiang, Qizhi, Feng, Yifei, Ji, Weixing

Sommario: “... propose a speculative decoding algorithm tailored for downstream task optimization. It includes...”
Testo

Linear-Time Encodable and Decodable Quantum Error-Correcting Codes di Wills, Adam, Lin, Ting-Chun, Zhang, Rachel Yun, Hsieh, Min-Hsiu

Sommario: “.... The classical decoding algorithms also run in logarithmic depth and use $\mathcal{O}(n \log n)$ gates...”
Testo

The Clifford defect of a numerical semigroup di Camps-Moreno, Eduardo, Fidalgo-Díaz, Adrián, Martínez-Peñas, Umberto, Matthews, Gretchen L.

Sommario: “... of an algebraic curve. It describes the error-correcting capability of the so-called Modified Algorithm...”
Testo

Real-Time Neural Appearance Models di Zeltner, Tizian, Rousselle, Fabrice, Weidlich, Andrea, Clarberg, Petrik, Novák, Jan, Bitterli, Benedikt, Evans, Alex, Davidovič, Tomáš, Kallweit, Simon, Lefohn, Aaron

Sommario: “... reserved for offline use. This is achieved with a combination of algorithmic and system level innovations...”
Testo

Plato: Plan to Efficiently Decode for Large Language Model Inference di Jin, Shuowei, Liu, Xueshen, Wu, Yongji, Zheng, Haizhong, Zhang, Qingzhao, Prakash, Atul, Lentz, Matthew, Zhuo, Danyang, Qian, Feng, Mao, Z. Morley

Sommario: “..., but their inference incurs substantial computational and memory overhead. To improve efficiency, parallel decoding...”
Testo

Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder di Chang, Dongxu, Peng, Qingqing, Ma, Zhiming, Wang, Guanghui, Yin, Dawei

Sommario: “... posteriori probability (APP) decoder is analyzed. We explore the concentration, symmetry, and monotonicity...”
Testo

FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast di Wu, Wenhao, Shao, Zishan, Cui, Kangning, Kim, Jinhee, Wang, Yixiao, Ye, Hancheng, Zhuo, Danyang, Chen, Yiran

Sommario: “... between prefill and autoregressive decode. We present FlashSVD v1.5, a unified inference runtime...”
Testo