Risultati della ricerca - (coding OR decoding) (algorithmssssicsics OR (algorithm OR (algorithm OR algorithm)))

Strong Copyright Protection for Language Models via Adaptive Model Fusion di Abad, Javier, Donhauser, Konstantin, Pinto, Francesco, Yang, Fanny

Sommario: “...-Protecting Fusion (CP-Fuse), an algorithm that adaptively combines language models to minimize...”
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Graph grammars and Physics Informed Neural Networks for simulating of pollution propagation on Spitzbergen di Sikora, Maciej, Oliver-Serra, Albert, Siwik, Leszek, Leszczyńska, Natalia, Ciesielski, Tomasz Maciej, Valseth, Eirik, Leszczyński, Jacek, Paszyńska, Anna, Paszyński, Maciej

Sommario: “...-edge refinement algorithm. This solver is used for an exemplary application: performing three...”
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Applicability criteria of proper charge neutrality and special relativistic MHD models extended by two-fluid effects di Yoshino, Shuntaro, Hirota, Makoto, Hattori, Yuji

Sommario: “... algorithm, which is the most time-consuming part of the RMHD code, is no longer required to compute...”
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Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning di Basnet, Animesh Singh, Ghanem, Mohamed Chahine, Dunsin, Dipo, Sowinski-Mydlarz, Wiktor

Sommario: “... coding, and numerous adjustments based on the insights gathered from predecessor models and contemporary...”
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Stochastic inflation and non-perturbative power spectrum beyond slow roll di Sharma, Devanshu

Sommario: “... the large-scale behaviour of primordial fluctuations. In this work, we develop a numerical code to capture...”
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Hamiltonian Monte Carlo-Based Near-Optimal MIMO Signal Detection di Hagiwara, Junichiro, Nishimura, Toshihiko, Sato, Takanori, Ogawa, Yasutaka, Ohgane, Takeo

Sommario: “... into a continuous problem while leveraging the efficient Hamiltonian Monte Carlo algorithm...”
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Can large language models be privacy preserving and fair medical coders? di Dadsetan, Ali, Soleymani, Dorsa, Zeng, Xijie, Rudzicz, Frank

Sommario: “...Protecting patient data privacy is a critical concern when deploying machine learning algorithms...”
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Edicho: Consistent Image Editing in the Wild di Bai, Qingyan, Ouyang, Hao, Xu, Yinghao, Wang, Qiuyu, Yang, Ceyuan, Cheng, Ka Leong, Shen, Yujun, Chen, Qifeng

Sommario: “... algorithm enjoys a plug-and-play nature and is compatible to most diffusion-based editing methods...”
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TeNeS-v2: Enhancement for Real-Time and Finite Temperature Simulations of Quantum Many-Body Systems di Motoyama, Yuichi, Okubo, Tsuyoshi, Yoshimi, Kazuyoshi, Morita, Satoshi, Aoyama, Tatsumi, Kato, Takeo, Kawashima, Naoki

Sommario: “..., the technical complexity of TPS/PEPS-based coding is often too much for researchers to handle. To reduce...”
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Formally Verifying a Transformation from MLTL Formulas to Regular Expressions di Wang, Zili, Kosaian, Katherine, Rozier, Kristin Yvonne

Sommario: “... itself works correctly. To that end, we verify the WEST algorithm, which converts MLTL formulas...”
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Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks di Kim, Jeongmo, Park, Yisak, Kim, Minung, Han, Seungyul

Sommario: “... Training (TAVT), a novel algorithm that accurately captures task characteristics for both training and OOD...”
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Performance Review on LLM for solving leetcode problems di Wang, Lun, Shi, Chuanqi, Du, Shaoshui, Tao, Yiyi, Shen, Yixian, Zheng, Hang, Shen, Yanxin, Qiu, Xinyu

Sommario: “...) in solving programming challenges from Leetcode, a widely used platform for algorithm practice and technical...”
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Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage di Shabani, Shima, Khoshghiaferezaee, Mohammadsadegh, Breuß, Michael

Sommario: “...In this paper we study the sparse coding problem in the context of sparse dictionary learning...”
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Generative Modeling for Mathematical Discovery di Ellenberg, Jordan S., Fraser-Taliente, Cristofero S., Harvey, Thomas R., Srivastava, Karan, Sutherland, Andrew V.

Sommario: “...We present a new implementation of the LLM-driven genetic algorithm {\it funsearch}, whose aim...”
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ScalerEval: Automated and Consistent Evaluation Testbed for Auto-scalers in Microservices di Xie, Shuaiyu, Wang, Jian, Luo, Yang, Yong, Yunqing, Tan, Yuzhen, Li, Bing

Sommario: “... to accommodate fluctuating workloads. Despite the introduction of many sophisticated auto-scaling algorithms...”
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DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector di Marichal, Henry, Casaravilla, Verónica, Power, Candice, Mello, Karolain, Mazarino, Joaquín, Lucas, Christine, Profumo, Ludmila, Passarella, Diego, Randall, Gregory

Sommario: “...Here, we propose Deep CS-TRD, a new automatic algorithm for detecting tree rings in whole cross...”
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Kinship Verification through a Forest Neural Network di Nazari, Ali, Moghaddam, Mohsen Ebrahimi, Borzoei, Omidreza

Sommario: “... representation algorithms. Moreover, we designed the structure of the classification module and introduced a new...”
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ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA di Shi, Zhengyuan, Li, Zeju, Ma, Chengyu, Zhou, Yunhao, Zheng, Ziyang, Liu, Jiawei, Pan, Hongyang, Zhou, Lingfeng, Li, Kezhi, Zhu, Jiaying, Yan, Lingwei, He, Zhiqiang, Xue, Chenhao, Jiang, Wentao, Yang, Fan, Sun, Guangyu, Yang, Xiaoyan, Chen, Gang, Shi, Chuan, Chu, Zhufei, Yang, Jun, Xu, Qiang

Sommario: “.... ForgeEDA includes diverse circuit representations such as Register Transfer Level (RTL) code, Post-mapping...”
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Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation di Almuzairee, Abdulaziz, Patil, Rohan, Bhatt, Dwait, Christensen, Henrik I.

Sommario: “... And Disentanglement (MAD) algorithm that efficiently merges views to increase sample efficiency while simultaneously...”
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Layer-wise Quantization for Quantized Optimistic Dual Averaging di Nguyen, Anh Duc, Markov, Ilia, Wu, Frank Zhengqing, Ramezani-Kebrya, Ali, Antonakopoulos, Kimon, Alistarh, Dan, Cevher, Volkan

Sommario: “... quantization framework with tight variance and code-length bounds, adapting to the heterogeneities over...”
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