Risultati della ricerca - coding (algorithmssics OR (algorithm OR (algorithm OR Algorithmssssicsics)))

Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples di Ferrentino, Enrico, Chiacchio, Pasquale, Russo, Giovanni

Sommario: “..., expounds an algorithm recently introduced in Gagliardi and Russo (2021) to synthesize policies from...”
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Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue di Park, Jeiyoon, Jang, Yoonna, Lee, Chanhee, Lim, Heuiseok

Sommario: “... postulate there are two salient factors for automatic induction of intents: (1) clustering algorithm...”
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Toward Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks di Meneghello, Francesca, Chen, Cheng, Cordeiro, Carlos, Restuccia, Francesco

Sommario: “... to leave the specific sensing algorithms open to implementation. To fill this gap, this article explores...”
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OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification di Shaaban, Mai A., Kashkash, Mariam, Alghfeli, Maryam, Ibrahim, Adham

Sommario: “... learning models by leveraging the Bees Algorithm, which is a recent promising swarm intelligence algorithm...”
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Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts di Shi, Jiang-Xin, Wei, Tong, Zhou, Zhi, Shao, Jie-Jing, Han, Xin-Yan, Li, Yu-Feng

Sommario: “.... With the observation above, we develop a low-complexity and accurate long-tail learning algorithms LIFT with the goal...”
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Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation di Wang, Fan, Yu, Yi

Sommario: “... algorithm. We then examine these estimators with multisource selection and establish their minimax...”
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GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production di Serebryany, Kostya, Kennelly, Chris, Phillips, Mitch, Denton, Matt, Elver, Marco, Potapenko, Alexander, Morehouse, Matt, Tsyrklevich, Vlad, Holler, Christian, Lettner, Julian, Kilzer, David, Brandt, Lander

Sommario: “... this problem when they are used, but the existing code bases consisting of billions of lines of C and C...”
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Adaptive mesh refinement in binary black holes simulations di Rashti, Alireza, Bhattacharyya, Maitraya, Radice, David, Daszuta, Boris, Cook, William, Bernuzzi, Sebastiano

Sommario: “...We discuss refinement criteria for the Berger-Rigoutsos (block-based) refinement algorithm in our...”
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Sparse is Enough in Fine-tuning Pre-trained Large Language Models di Song, Weixi, Li, Zuchao, Zhang, Lefei, Zhao, Hai, Du, Bo

Sommario: “... algorithm, named Sparse Increment Fine-Tuning (SIFT), and validate its effectiveness on a range of tasks...”
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Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training di Chen, Xinyan, Ge, Jiaxin, Zhang, Tianjun, Liu, Jiaming, Zhang, Shanghang

Sommario: “... algorithm that aligns images to text through iterative image sampling and prompt relabeling with feedback...”
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Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery di Waxman, Daniel, Butler, Kurt, Djuric, Petar M.

Sommario: “... to existing differentiable causal discovery algorithms, \textsc{Dagma-DCE} uses an interpretable measure...”
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RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies di Cheng, Hao, Wen, Qingsong, Liu, Yang, Sun, Liang

Sommario: “... propose a simple and efficient algorithm to learn a robust forecasting model. Extensive experiments show...”
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TopoX: A Suite of Python Packages for Machine Learning on Topological Domains di Hajij, Mustafa, Papillon, Mathilde, Frantzen, Florian, Agerberg, Jens, AlJabea, Ibrahem, Ballester, Rubén, Battiloro, Claudio, Bernárdez, Guillermo, Birdal, Tolga, Brent, Aiden, Chin, Peter, Escalera, Sergio, Fiorellino, Simone, Gardaa, Odin Hoff, Gopalakrishnan, Gurusankar, Govil, Devendra, Hoppe, Josef, Karri, Maneel Reddy, Khouja, Jude, Lecha, Manuel, Livesay, Neal, Meißner, Jan, Mukherjee, Soham, Nikitin, Alexander, Papamarkou, Theodore, Prílepok, Jaro, Ramamurthy, Karthikeyan Natesan, Rosen, Paul, Guzmán-Sáenz, Aldo, Salatiello, Alessandro, Samaga, Shreyas N., Scardapane, Simone, Schaub, Michael T., Scofano, Luca, Spinelli, Indro, Telyatnikov, Lev, Truong, Quang, Walters, Robin, Yang, Maosheng, Zaghen, Olga, Zamzmi, Ghada, Zia, Ali, Miolane, Nina

Sommario: “... graph-based embedding algorithms such as node2vec; TopoModelX is built on top of PyTorch and offers a...”
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Estimating Barycenters of Distributions with Neural Optimal Transport di Kolesov, Alexander, Mokrov, Petr, Udovichenko, Igor, Gazdieva, Milena, Pammer, Gudmund, Burnaev, Evgeny, Korotin, Alexander

Sommario: “... the typical adversarial algorithms leveraging barycenter tasks utilize tri-level optimization and focus mostly...”
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Generative Adversarial Model-Based Optimization via Source Critic Regularization di Yao, Michael S., Zeng, Yimeng, Bastani, Hamsa, Gardner, Jacob, Gee, James C., Bastani, Osbert

Sommario: “... is reliable. We propose a computationally tractable algorithm to dynamically adjust the strength...”
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Guided Sketch-Based Program Induction by Search Gradients di Amin, Ahmad Ayaz

Sommario: “... algorithm through training. However, contemporary approaches to program induction are not sophisticated...”
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PST-Bench: Tracing and Benchmarking the Source of Publications di Zhang, Fanjin, Cao, Kun, Cen, Yukuo, Yu, Jifan, Yin, Da, Tang, Jie

Sommario: “... algorithms can be developed to expand the evolutionary knowledge of science. In this paper, we study...”
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Caltech Aerial RGB-Thermal Dataset in the Wild di Lee, Connor, Anderson, Matthew, Raganathan, Nikhil, Zuo, Xingxing, Do, Kevin, Gkioxari, Georgia, Chung, Soon-Jo

Sommario: “... settings in order to drive the development of perception algorithms robust to adverse weather and nighttime...”
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End-To-End Underwater Video Enhancement: Dataset and Model di Du, Dazhao, Li, Enhan, Si, Lingyu, Xu, Fanjiang, Niu, Jianwei

Sommario: “... primarily focus on developing image enhancement algorithms to enhance each frame independently. There is a...”
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Generalized Criterion for Identifiability of Additive Noise Models Using Majorization di Dallakyan, Aramayis, Ni, Yang

Sommario: “...) distributions. For linear Structural Equation Models, we present a new algorithm that leverages the concept...”
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