Risultati della ricerca - (coding OR encoding) (algorithmics OR (algorithm OR algorithm))

LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design di Wei, Renjie, Xu, Songqiang, Zhong, Linfeng, Yang, Zebin, Guo, Qingyu, Wang, Yuan, Wang, Runsheng, Li, Meng

Sommario: “.... 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 di Raz, Tomer, Shalyt, Michael, Leibtag, Elyasheev, Kalisch, Rotem, Weinbaum, Shachar, Hadad, Yaron, Kaminer, Ido

Sommario: “... formulas. Our system combines Large Language Models (LLMs) for systematic formula harvesting, an LLM-code...”
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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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Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems di Klatzer, Teresa, Melidonis, Savvas, Pereyra, Marcelo, Zygalakis, Konstantinos C.

Sommario: “... 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 di Meng, Xianghan, Huang, Zhiyuan, He, Wei, Qi, Xianbiao, Xiao, Rong, Li, Chun-Guang

Sommario: “... 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 di Chen, Yutao, Chen, Wei

Sommario: “... 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 di Bai, Lu, Li, Mengtong, Lian, Siyuan, Chen, Kai, Lu, Jing

Sommario: “... 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 di Li, Hao, Liang, Zhenyu, Cheng, Ran

Sommario: “...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 di Sullivan-Pao, Danielle, Tian, Nicole, Khorrami, Pooya

Sommario: “... 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 di Nagarajan, Vaishnavh, Wu, Chen Henry, Ding, Charles, Raghunathan, Aditi

Sommario: “... 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 di Vats, Vibhas, Reza, Md. Alimoor, Crandall, David, Jung, Soon-heung

Sommario: “... 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 di 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

Sommario: “... usually relies on heavy regularization for convergence. Conventional algorithms regularize in the pixel...”
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Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles di Gupta, Kushagra, Murthy, Surya, Karabag, Mustafa O., Topcu, Ufuk, Fridovich-Keil, David

Sommario: “... in the decision space. To this end, we propose a cooperative bargaining algorithm where a mediator has access...”
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Deep Koopman operator framework for causal discovery in nonlinear dynamical systems di Nathaniel, Juan, Roesch, Carla, Buch, Jatan, DeSantis, Derek, Rupe, Adam, Lamb, Kara, Gentine, Pierre

Sommario: “...We use a deep Koopman operator-theoretic formalism to develop a novel causal discovery algorithm...”
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Stochastic Forward-Forward Learning through Representational Dimensionality Compression di Zhu, Zhichao, Qi, Yang, Ma, Hengyuan, Lu, Wenlian, Feng, Jianfeng

Sommario: “...The Forward-Forward (FF) learning algorithm provides a bottom-up alternative to backpropagation (BP...”
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Scalable and adaptive prediction bands with kernel sum-of-squares di Allain, Louis, da Veiga, Sébastien, Staber, Brian

Sommario: “... semidefinite programming algorithms. Second, we introduce a new hyperparameter tuning strategy tailored...”
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Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings di Tan, Rong-Xi, Chen, Ming, Xue, Ke, Wang, Yao, Wang, Yaoyuan, Fu, Sheng, Qian, Chao

Sommario: “... overcome traditional barriers in universal BBO, paving the way for general-purpose BBO algorithms. The code...”
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Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models di Song, Haoyi, Ji, Ruihan, Shi, Naichen, Lai, Fan, Kontar, Raed Al

Sommario: “... strategies, and similarity metrics. We also propose GAAP, a perturbation algorithm based on genetic...”
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SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models di Diao, Xingjian, Zhang, Chunhui, Kong, Keyi, Wu, Weiyi, Ma, Chiyu, Ouyang, Zhongyu, Qing, Peijun, Vosoughi, Soroush, Gui, Jiang

Sommario: “...-oriented audio data, and effective training algorithms. In this work, we present a comprehensive solution...”
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StainPIDR: A Pathological Image Decouplingand Reconstruction Method for Stain Normalization Based on Color Vector Quantization and Structure Restaining di Chen, Zheng

Sommario: “... algorithm. All the results show that our method can perform well in the stain normalization task. The code...”
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