Risultati della ricerca - decoding (Algorithmssic OR (algorithm OR algorithmics))

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures di Zhang, Huijie, Lu, Yifu, Alkhouri, Ismail, Ravishankar, Saiprasad, Song, Dogyoon, Qu, Qing

Sommario: “... involves segmenting the time interval into multiple stages where we employ custom multi-decoder U-net...”
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Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations di Guetschel, Pierre, Ahmadi, Sara, Tangermann, Michael

Sommario: “... for BCI decoding, to provide a comprehensive analysis of the current state-of-the-art. Each article...”
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Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks di Badnava, Babak, Chakareski, Jacob, Hashemi, Morteza

Sommario: “... and offer computing assistance for decoding/rendering of video frames. However, this comes at the expense...”
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Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance di Zhu, Yongshuo, Li, Lu, Chen, Keyan, Liu, Chenyang, Zhou, Fugen, Shi, Zhenwei

Sommario: “.... Semantic-CC alleviates the dependency of high-generalization algorithms on extensive annotations...”
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Enhanced Parking Perception by Multi-Task Fisheye Cross-view Transformers di Musabini, Antonyo, Novikov, Ivan, Soula, Sana, Leonet, Christel, Wang, Lihao, Benmokhtar, Rachid, Burger, Fabian, Boulay, Thomas, Perrotton, Xavier

Sommario: “...Current parking area perception algorithms primarily focus on detecting vacant slots within a...”
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MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training di Li, Chengyin, Zhu, Hui, Sultan, Rafi Ibn, Ebadian, Hassan Bagher, Khanduri, Prashant, Indrin, Chetty, Thind, Kundan, Zhu, Dongxiao

Sommario: “... and Magnetic Resonance (MR) images. This heterogeneity challenges automatic segmentation algorithms to maintain...”
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Online Adaptation for Myographic Control of Natural Dexterous Hand and Finger Movements di Betthauser, Joseph L., Greene, Rebecca, Dhawan, Ananya, Krall, John T., Hunt, Christopher L., Levay, Gyorgy, Kaliki, Rahul R., Fifer, Matthew S., Sikdar, Siddhartha, Thakor, Nitish V.

Sommario: “...One of the most elusive goals in myographic prosthesis control is the ability to reliably decode...”
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Joint Detection and Decoding: A Graph Neural Network Approach di Clausius, Jannis, Rübenacke, Marvin, Tandler, Daniel, Brink, Stephan ten

Sommario: “... be used to perform joint detection and decoding (JDD). For detection, the GNN is build upon the factor...”
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An Analytical Study of the Min-Sum Approximation for Polar Codes di Chisnevski, Nir, Tal, Ido, Shamai, Shlomo

Sommario: “...The min-sum approximation is widely used in the decoding of polar codes. Although it is a numerical...”
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KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse di Yang, Huan, Zhang, Renji, Huang, Mingzhe, Wang, Weijun, Tang, Yin, Li, Yuanchun, Liu, Yunxin, Zhang, Deyu

Sommario: “... and the attention deviations introduced by new tokens during the decoding stage. In this paper, we present a KV...”
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GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance di Jamil, Sofia, Dabad, Aryan, Reddy, Bollampalli Areen, Saha, Sriparna, Misra, Rajiv, Shakur, Adil A.

Sommario: “... extraction capabilities of Large Language Models (LLMs) with the summarization power of the encoder-decoder...”
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HAMburger: Accelerating LLM Inference via Token Smashing di Liu, Jingyu, Zhang, Ce

Sommario: “... optimization on algorithms, systems, and hardware. However, very few works have fundamentally changed...”
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Branch-and-bound method for calculating Viterbi path in triplet Markov models di Soop, Oskar, Lember, Jüri

Sommario: “...$ is Markov chain, then such path can be efficiently found using the celebrated Viterbi algorithm. However...”
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OpenZL: A Graph-Based Model for Compression di Collet, Yann, Terrell, Nick, Handte, W. Felix, Rozenblit, Danielle, Zhang, Victor, Zhang, Kevin, Goldschlag, Yaelle, Lee, Jennifer, Gorokhovsky, Elliot, Komornik, Yonatan, Riegel, Daniel, Angelov, Stan, Rotem, Nadav

Sommario: “... throughput and low resource utilization. In practice, application-specific compression algorithms...”
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Decoupling Task-Solving and Output Formatting in LLM Generation di Deng, Haikang, Kung, Po-Nien, Peng, Nanyun

Sommario: “... aspects could lead to improved performance. To this front, we introduce Deco-G, a decoding framework...”
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AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model di Jin, Zhiwei, Song, Xiaohui, Wang, Nan, Liu, Yafei, Li, Chao, Li, Xin, Wang, Ruichen, Li, Zhihao, Qi, Qi, Cheng, Long, Hao, Dongze, Zheng, Quanlong, Zhang, Yanhao, Ji, Haobo, Ma, Jian, Zheng, Zhitong, Lin, Zhenyi, Deng, Haolin, Zou, Xin, Yin, Xiaojie, Wang, Ruilin, Cai, Liankai, Liu, Haijing, Qiu, Yuqing, Chen, Ke, Li, Zixian, Xie, Chi, Li, Huafei, Li, Chenxing, Wang, Chuangchuang, Tang, Kai, Zhu, Zhiguang, Tang, Kai, Gao, Wenmei, Wang, Rui, Wu, Jun, Liu, Chao, Xie, Qin, Chen, Chen, Lu, Haonan

Sommario: “... of AndesVL. Moreover, utilizing our cache eviction algorithm -- OKV -- along with customized speculative...”
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Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference di Bhendawade, Nikhil, Nishu, Kumari, Kundu, Arnav, Bartels, Chris, Cho, Minsik, Belousova, Irina

Sommario: “...Speculative decoding accelerates LLM inference by using a draft model to look ahead, but gains...”
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A Preliminary Study on the Promises and Challenges of Native Top-$k$ Sparse Attention di Xiu, Di, Tang, Hongyin, Rong, Bolin, Yan, Lizhi, Wang, Jingang, Lu, Yifan, Cai, Xunliang

Sommario: “... into the effectiveness and theoretical mechanisms of the Top-$k$ Attention mechanism during both the decoding...”
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Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection di Kashani, Parnian Ghapandar, Chen, Shiqi, Ozcan, Aydogan

Sommario: “... on computationally intensive and energy-demanding inference algorithms, limiting their scalability. Here, we present...”
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Bioinspired Sensory Transduction for Magnetic Profile Recognition and Encryption di Ziyue Miao, Xichen Hu, Kai Liu, Shanming Hu, Guihua Yan, Hongwei Tan, Olli Ikkala, Zhong‐Peng Lv, Bo Peng

Sommario: “... signals. Machine learning algorithms decode the static and dynamic information with ∼100% and 87.5...”
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