Suchergebnisse - (coding OR Decoding) algorithm

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge von Imran, Muhammad, Krebs, Jonathan R., Sivaraman, Vishal Balaji, Zhang, Teng, Kumar, Amarjeet, Ueland, Walker R., Fassler, Michael J., Huang, Jinlong, Sun, Xiao, Wang, Lisheng, Shi, Pengcheng, Rokuss, Maximilian, Baumgartner, Michael, Kirchhof, Yannick, Maier-Hein, Klaus H., Isensee, Fabian, Liu, Shuolin, Han, Bing, Nguyen, Bong Thanh, Shin, Dong-jin, Ji-Woo, Park, Choi, Mathew, Uhm, Kwang-Hyun, Ko, Sung-Jea, Lee, Chanwoong, Chun, Jaehee, Kim, Jin Sung, Zhang, Minghui, Zhang, Hanxiao, You, Xin, Gu, Yun, Pan, Zhaohong, Liu, Xuan, Liang, Xiaokun, Tiefenthaler, Markus, Almar-Munoz, Enrique, Schwab, Matthias, Kotyushev, Mikhail, Epifanov, Rostislav, Wodzinski, Marek, Muller, Henning, Qayyum, Abdul, Mazher, Moona, Niederer, Steven A., Wang, Zhiwei, Yang, Kaixiang, Ren, Jintao, Korreman, Stine Sofia, Gao, Yuchong, Zeng, Hongye, Zheng, Haoyu, Zheng, Rui, Yue, Jinghua, Zhou, Fugen, Liu, Bo, Cosman, Alexander, Liang, Muxuan, Zhao, Chang, Upchurch Jr., Gilbert R., Ma, Jun, Zhou, Yuyin, Cooper, Michol A., Shao, Wei

Inhaltsangabe: “… , and an in-depth analysis of the top-performing algorithms. The annotated dataset, evaluation code …”
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LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation von Zhang, Shengdong, Jia, Fan, Li, Xiang, Zhang, Hao, Shi, Jun, Ma, Liyan, Ying, Shihui

Inhaltsangabe: “… into prototype update and mask update tasks, we propose an alternating optimization algorithm to solve …”
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Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data von Agarwal, Ishika, Hakkani-Tür, Dilek

Inhaltsangabe: “… metrics and algorithms to calculate the influence of data using language models, which do not scale well …”
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Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay von Neague, Petru, Stokkink, Quinten, Goel, Naman, Pouwelse, Johan

Inhaltsangabe: “… and fulfill the promise of Semantic Overlay Networks. Our proposed algorithm, called Semantica, constructs a …”
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Blank Space: Adaptive Causal Coding for Streaming Communications Over Multi-Hop Networks von Gitik, Rivka, Waxman, Adina, Ginzach, Shai, Glam, Aviel, Cohen, Alejandro

Inhaltsangabe: “… novel coding scheme designed to mitigate the triplet trade-off between throughput-delay-efficiency …”
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Inductive Synthesis of Inductive Heap Predicates -- Extended Version von Yang, Ziyi, Sergey, Ilya

Inhaltsangabe: “… learning algorithm. The key contributions of our work are (a) the formulation of ILP-based learning only …”
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LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design von Wei, Renjie, Xu, Songqiang, Zhong, Linfeng, Yang, Zebin, Guo, Qingyu, Wang, Yuan, Wang, Runsheng, Li, Meng

Inhaltsangabe: “… . In this paper, we propose LightMamba that co-designs the quantization algorithm and FPGA accelerator …”
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From Euler to AI: Unifying Formulas for Mathematical Constants von Raz, Tomer, Shalyt, Michael, Leibtag, Elyasheev, Kalisch, Rotem, Weinbaum, Shachar, Hadad, Yaron, Kaminer, Ido

Inhaltsangabe: “… formulas. Our system combines Large Language Models (LLMs) for systematic formula harvesting, an LLM-code …”
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Discrete Codebook World Models for Continuous Control von Scannell, Aidan, Nakhaei, Mohammadreza, Kujanpää, Kalle, Zhao, Yi, Luck, Kevin Sebastian, Solin, Arno, Pajarinen, Joni

Inhaltsangabe: “… are codes from a codebook. We combine DCWM with decision-time planning to get our model-based RL algorithm …”
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SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning von Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Inhaltsangabe: “… 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 von Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Inhaltsangabe: “… is collected for fine-tuning MLLMs. (3) For the training algorithm, we propose a ``what or how to generate …”
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Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems von Klatzer, Teresa, Melidonis, Savvas, Pereyra, Marcelo, Zygalakis, Konstantinos C.

Inhaltsangabe: “… problems involving weakly informative Poisson data. Existing PnP Langevin algorithms are not well-suited …”
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Exploring a Principled Framework for Deep Subspace Clustering von Meng, Xianghan, Huang, Zhiyuan, He, Wei, Qi, Xianbiao, Xiao, Rong, Li, Chun-Guang

Inhaltsangabe: “… subspace clustering algorithms attempt to jointly learn UoS representations and self-expressive …”
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An Efficient Reservation Protocol for Medium Access: When Tree Splitting Meets Reinforcement Learning von Chen, Yutao, Chen, Wei

Inhaltsangabe: “… decision process or reinforcement learning (RL). The RL-empowered tree-splitting algorithm guarantees …”
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WaveNet-Volterra Neural Networks for Active Noise Control: A Fully Causal Approach von Bai, Lu, Li, Mengtong, Lian, Siyuan, Chen, Kai, Lu, Jing

Inhaltsangabe: “… the performance of traditional adaptive filters. While deep learning-based ANC algorithms have emerged to address …”
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GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III von Li, Hao, Liang, Zhenyu, Cheng, Ran

Inhaltsangabe: “… NSGA-III is one of the most widely adopted algorithms for tackling many-objective optimization …”
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LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution von Sullivan-Pao, Danielle, Tian, Nicole, Khorrami, Pooya

Inhaltsangabe: “… propose LoRA eXpandable Networks (LoRAX), a parameter-efficient class incremental algorithm that adapts …”
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Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction von Nagarajan, Vaishnavh, Wu, Chen Henry, Ding, Charles, Raghunathan, Aditi

Inhaltsangabe: “… of the code available under https://github.com/chenwu98/algorithmic-creativity  …”
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Blending 3D Geometry and Machine Learning for Multi-View Stereopsis von Vats, Vibhas, Reza, Md. Alimoor, Crandall, David, Jung, Soon-heung

Inhaltsangabe: “… consistency constraints. In contrast, modern learning-based algorithms often rely on the plane sweep algorithm …”
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PIRATES -- a machine-learning framework for polarized, interferometric image reconstruction von Lilley, Lucinda, Norris, Barnaby, Tuthill, Peter, Spalding, Eckhart, Lucas, Miles, Zhang, Manxuan, Millar-Blanchaer, Maxwell, Pinte, Christophe, Bottom, Michael, Guyon, Olivier, Lozi, Julien, Deo, Vincent, Vievard, Sébastien, Wong, Alison P, Ahn, Kyohoon, Ashcraft, Jaren

Inhaltsangabe: “… usually relies on heavy regularization for convergence. Conventional algorithms regularize in the pixel …”
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