Risultati della ricerca - (coding OR Decoding) ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR algorithmssics))

A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking di Zhang, Jun, Ao, Wenxuan, Yan, Junbo, Jin, Depeng, Li, Yong

Sommario: “... and benchmark classical rule-based algorithms, reinforcement learning algorithms, and black-box optimization...”
Testo

Towards Improved Objective Perceptual Audio Quality Assessment -- Part 1: A Novel Data-Driven Cognitive Model di Delgado, Pablo M., Herre, Jürgen

Sommario: “... assessment tools have been developed over time to algorithmically predict quality ratings from subjective...”
Testo

BDiff: Block-aware and Accurate Text-based Code Differencing di Lu, Yao, Liu, Wanwei, Zhang, Tanghaoran, Yang, Kang, Zhang, Yang, Xu, Wenyu, Sun, Longfei, Mao, Xinjun, Gao, Shuzheng, Lyu, Michael R.

Sommario: “... on text blocks spanning multiple lines. Such EAs are common in developers' practice, such as moving a code...”
Testo

Pre-Training Representations of Binary Code Using Contrastive Learning di Zhang, Yifan, Huang, Chen, Zhang, Yueke, Shao, Huajie, Leach, Kevin, Huang, Yu

Sommario: “..., and (3) an intermediate representation learning algorithm to train a binary code embedding. We further...”
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Multi-layer State Evolution Under Random Convolutional Design di Daniels, Mara, Gerbelot, Cédric, Krzakala, Florent, Zdeborová, Lenka

Sommario: “... in statistical inference and computational imaging. Theoretical analysis of reconstruction algorithms under...”
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A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning di Qin, Lang, Yan, Rui, Tang, Huajin

Sommario: “... suffers from fixed coding methods, still faces the problems of high latency and poor versatility...”
Testo

On the Security Vulnerabilities of Text-to-SQL Models di Peng, Xutan, Zhang, Yipeng, Yang, Jingfeng, Stevenson, Mark

Sommario: “...Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable...”
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Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size di Mostafa, Eslam, Aly, Hussein A., Elliethy, Ahmed

Sommario: “...Genetic algorithm (GA) is typically used to solve nonlinear model predictive control's optimization...”
Testo

Finding Orientations of Supersingular Elliptic Curves and Quaternion Orders di Arpin, Sarah, Clements, James, Dartois, Pierrick, Eriksen, Jonathan Komada, Kutas, Péter, Wesolowski, Benjamin

Sommario: “... explicit algorithms and in-depth complexity analysis. We also consider the question in terms...”
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TD-MPC2: Scalable, Robust World Models for Continuous Control di Hansen, Nicklas, Su, Hao, Wang, Xiaolong

Sommario: “...TD-MPC is a model-based reinforcement learning (RL) algorithm that performs local trajectory...”
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De novo Drug Design using Reinforcement Learning with Multiple GPT Agents di Hu, Xiuyuan, Liu, Guoqing, Zhao, Yang, Zhang, Hao

Sommario: “..., we propose MolRL-MGPT, a reinforcement learning algorithm with multiple GPT agents for drug molecular...”
Testo

To the Max: Reinventing Reward in Reinforcement Learning di Veviurko, Grigorii, Böhmer, Wendelin, de Weerdt, Mathijs

Sommario: “... environments and can be easily combined with state-of-the-art RL algorithms. In the experiments, we study...”
Testo

EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models di Xing, Shangyu, Zhao, Fei, Wu, Zhen, An, Tuo, Chen, Weihao, Li, Chunhui, Zhang, Jianbing, Dai, Xinyu

Sommario: “... paired responses with and without hallucinations, and then employ various alignment algorithms to improve...”
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Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent di Li, Yingru, Xu, Jiawei, Han, Lei, Luo, Zhi-Quan

Sommario: “...We propose HyperAgent, a reinforcement learning (RL) algorithm based on the hypermodel framework...”
Testo

Autonomous Mapless Navigation on Uneven Terrains di Jardali, Hassan, Ali, Mahmoud, Liu, Lantao

Sommario: “...-aware subgoal that leads the robot to its final destination. The algorithm is designed to run in real...”
Testo

Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains di Pham, Bang-Dang, Tran, Phong, Tran, Anh, Pham, Cuong, Nguyen, Rang, Hoai, Minh

Sommario: “...This paper presents an innovative framework designed to train an image deblurring algorithm...”
Testo

Hybrid Tree Tensor Networks for quantum simulation di Schuhmacher, Julian, Ballarin, Marco, Baiardi, Alberto, Magnifico, Giuseppe, Tacchino, Francesco, Montangero, Simone, Tavernelli, Ivano

Sommario: “..., their practical usefulness and many operational aspects of hTN-based algorithms, like the optimization of hTNs...”
Testo

Structured Click Control in Transformer-based Interactive Segmentation di Xu, Long, Chen, Yongquan, Huang, Rui, Wu, Feng, Lai, Shiwu

Sommario: “.... However, it's hard for existing algorithms to obtain precise and robust responses after multiple clicks...”
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Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation di Liu, Yu, Pratiush, Utkarsh, Bemis, Jason, Proksch, Roger, Emery, Reece, Rack, Philip D., Liu, Yu-Chen, Yang, Jan-Chi, Udovenko, Stanislav, Trolier-McKinstry, Susan, Kalinin, Sergei V.

Sommario: “...The rapid development of computation power and machine learning algorithms has paved the way...”
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A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models di Verger, Mélina, Fan, Chunyang, Lallé, Sébastien, Bouchet, François, Luengo, Vanda

Sommario: “... sufficiently accurate and fair in their predictions. To evaluate algorithmic fairness, a new metric has been...”
Testo