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

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? di Han, Songyang, Su, Sanbao, He, Sihong, Han, Shuo, Yang, Haizhao, Zou, Shaofeng, Miao, Fei

Sommario: “... (RMA3C) algorithm to learn robust policies for MARL agents under state uncertainties. Our experiments...”
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Data Augmentation for Generating Synthetic Electrogastrogram Time Series di Miljković, Nadica, Milenić, Nikola, Popović, Nenad B., Sodnik, Jaka

Sommario: “... the synthetic EGG signal resembling simulator sickness occurrence displayed expected trends. The code...”
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Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation di Xu, Yue, Li, Yong-Lu, Cui, Kaitong, Wang, Ziyu, Lu, Cewu, Tai, Yu-Wing, Tang, Chi-Keung

Sommario: “... dataset, outperform the previous SOTA distillation algorithms, and consistently enhance the distillation...”
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RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control di Eschmann, Jonas, Albani, Dario, Loianno, Giuseppe

Sommario: “... to the tight integration of the RL algorithms with simulation environments, RLtools can solve popular RL...”
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Learning Semantic Segmentation with Query Points Supervision on Aerial Images di Rivier, Santiago, Hinojosa, Carlos, Giancola, Silvio, Ghanem, Bernard

Sommario: “... to obtain. In this work, we present a weakly supervised learning algorithm to train semantic segmentation...”
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High Order Expansion Method for Kuiper's $V_n$ Statistic in Goodness-of-fit Test di Zhang, Hong-Yan, Feng, Zhi-Qiang, Liu, Haoting, Lin, Rui-Jia, Zhou, Yu

Sommario: “... applications where there are more than five samples of data. The principles, algorithms and code for the high...”
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Robust Multi-Model Subset Selection di Christidis, Anthony-Alexander, Cohen-Freue, Gabriela

Sommario: “.... The appendix contains all theoretical proofs, additional algorithmic and computational details, and the code...”
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Sample as You Infer: Predictive Coding With Langevin Dynamics di Zahid, Umais, Guo, Qinghai, Fountas, Zafeirios

Sommario: “...We present a novel algorithm for parameter learning in generic deep generative models that builds...”
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Diffusion Models With Learned Adaptive Noise di Sahoo, Subham Sekhar, Gokaslan, Aaron, De Sa, Chris, Kuleshov, Volodymyr

Sommario: “...Diffusion models have gained traction as powerful algorithms for synthesizing high-quality images...”
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OSIRIS-GR: General relativistic activation of the polar cap of a compact neutron star di Torres, R., Grismayer, T., Cruz, F., Fonseca, R. A., Silva, L. O.

Sommario: “... of coherent radio emission - employing a new module for the PIC code OSIRIS, designed to model plasma dynamics...”
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Is Synchronization a Bottleneck for Pilot-Assisted URLLC Links? di Kislal, A. Oguz, Rajiv, Madhavi, Durisi, Giuseppe, Ström, Erik G., Mitra, Urbashi

Sommario: “...We propose a framework to evaluate the so-called random-coding union bound with parameter $s$ (RCUs...”
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Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy di Bhaskara, Ramchander, Georgakis, Georgios, Nash, Jeremy, Cameron, Marissa, Bowkett, Joseph, Ansar, Adnan, Majji, Manoranjan, Backes, Paul

Sommario: “... both traditional and deep learning-based algorithms for depth estimation from stereo matching...”
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Accelerating Parallel Sampling of Diffusion Models di Tang, Zhiwei, Tang, Jiasheng, Luo, Hao, Wang, Fan, Chang, Tsung-Hui

Sommario: “... sampling algorithm that can leverage extra computational and memory resources to increase the sampling...”
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3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods di Beemelmanns, Till, Tao, Yuchen, Lampe, Bastian, Reiher, Lennart, van Kempen, Raphael, Woopen, Timo, Eckstein, Lutz

Sommario: “... algorithms. We propose a new lossless and calibrated 3D-to-2D transformation which allows compression...”
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CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration di Fathian, Kaveh, Summers, Tyler

Sommario: “...We present CLIPPER+, an algorithm for finding maximal cliques in unweighted graphs for outlier...”
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Generative Explanations for Program Synthesizers di Nazari, Amirmohammad, Chattopadhyay, Souti, Swayamdipta, Swabha, Raghothaman, Mukund

Sommario: “...Despite great advances in program synthesis techniques, they remain algorithmic black boxes...”
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Leveraging graph neural networks for supporting Automatic Triage of Patients di Defilippo, Annamaria, Veltri, Pierangelo, Lio', Pietro, Guzzi, Pietro Hiram

Sommario: “...) to develop algorithms able to maximize information gathering and minimize errors in patient triage processing...”
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SimGrade: Using Code Similarity Measures for More Accurate Human Grading di Johnson-Yu, Sonja, Bowman, Nicholas, Sahami, Mehran, Piech, Chris

Sommario: “... they have previously seen. We propose several algorithms for (1) assigning student submissions to graders...”
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Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery di Tourani, Siddharth, Alwheibi, Ahmed, Mahmood, Arif, Khan, Muhammad Haris

Sommario: “... of self-supervised learning algorithms, known as diffusion models. Some recent works have shown...”
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pfl-research: simulation framework for accelerating research in Private Federated Learning di Granqvist, Filip, Song, Congzheng, Cahill, Áine, van Dalen, Rogier, Pelikan, Martin, Chan, Yi Sheng, Feng, Xiaojun, Krishnaswami, Natarajan, Jina, Vojta, Chitnis, Mona

Sommario: “... with state-of-the-art privacy algorithms. We study the speed of open-source FL frameworks and show that pfl...”
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