Resultados de búsqueda - (endedededecoding OR (coding OR decoding)) (algorithm OR (Algorithmsssic OR Algorithmsssic))

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning por Nakamoto, Mitsuhiko, Zhai, Yuexiang, Singh, Anikait, Mark, Max Sobol, Ma, Yi, Finn, Chelsea, Kumar, Aviral, Levine, Sergey

Tabla de Contenidos: “… simply be the behavior policy. We show that offline RL algorithms that learn such calibrated value…”
Enlace del recurso

Partially Fault-tolerant Quantum Computing Architecture with Error-corrected Clifford Gates and Space-time Efficient Analog Rotations por Akahoshi, Yutaro, Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro, Fujii, Keisuke

Tabla de Contenidos: “… (FTQC) based on the quantum error correction (QEC) code remains far beyond realization due to its…”
Enlace del recurso

Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation por Su, Sanbao, Han, Songyang, Li, Yiming, Zhang, Zhili, Feng, Chen, Ding, Caiwen, Miao, Fei

Tabla de Contenidos: “… collaborative object detectors and baseline MOT algorithms. We evaluate MOT-CUP on V2X-Sim, a comprehensive…”
Enlace del recurso

HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices por Toupas, Petros, Montgomerie-Corcoran, Alexander, Bouganis, Christos-Savvas, Tzovaras, Dimitrios

Tabla de Contenidos: “… model, iii) a scheduling algorithm for executing 3D models on the generated hardware, iv) a resource…”
Enlace del recurso

SCART: Simulation of Cyber Attacks for Real-Time por Rahimi, Eliron, Girstein, Kfir, Malits, Roman, Mendelson, Avi

Tabla de Contenidos: “… algorithms. These advancements hold the potential to significantly enhance anomaly detection in real-time…”
Enlace del recurso

Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data por Zhou, Hongkuan, Bing, Zhenshan, Yao, Xiangtong, Su, Xiaojie, Yang, Chenguang, Huang, Kai, Knoll, Alois

Tabla de Contenidos: “… skill priors and imitation learning under unstructured data to enhance the algorithm's generalization…”
Enlace del recurso

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration por Kim, Dongyoung, Shin, Jinwoo, Abbeel, Pieter, Seo, Younggyo

Tabla de Contenidos: “… algorithms across a variety of tasks within MiniGrid, DeepMind Control Suite, and Meta-World benchmarks…”
Enlace del recurso

A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series por Liu, Yixuan, Kirch, Claudia, Lee, Jeong Eun, Meyer, Renate

Tabla de Contenidos: “… series representation of this prior is then used to develop a Markov chain Monte Carlo algorithm…”
Enlace del recurso

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods por Choudhary, Kamal, Wines, Daniel, Li, Kangming, Garrity, Kevin F., Gupta, Vishu, Romero, Aldo H., Krogel, Jaron T., Saritas, Kayahan, Fuhr, Addis, Ganesh, Panchapakesan, Kent, Paul R. C., Yan, Keqiang, Lin, Yuchao, Ji, Shuiwang, Blaiszik, Ben, Reiser, Patrick, Friederich, Pascal, Agrawal, Ankit, Tiwary, Pratyush, Beyerle, Eric, Minch, Peter, Rhone, Trevor David, Takeuchi, Ichiro, Wexler, Robert B., Mannodi-Kanakkithodi, Arun, Ertekin, Elif, Mishra, Avanish, Mathew, Nithin, Baird, Sterling G., Wood, Mitchell, Rohskopf, Andrew Dale, Hattrick-Simpers, Jason, Wang, Shih-Han, Achenie, Luke E. K., Xin, Hongliang, Williams, Maureen, Biacchi, Adam J., Tavazza, Francesca

Tabla de Contenidos: “… in the form of dataset, code, and meta-data submissions. We cover the following materials design categories…”
Enlace del recurso

The NANOGrav 15-year Gravitational-Wave Background Methods por Johnson, Aaron D., Meyers, Patrick M., Baker, Paul T., Cornish, Neil J., Hazboun, Jeffrey S., Littenberg, Tyson B., Romano, Joseph D., Taylor, Stephen R., Vallisneri, Michele, Vigeland, Sarah J., Olum, Ken D., Siemens, Xavier, Ellis, Justin A., van Haasteren, Rutger, Hourihane, Sophie, Agazie, Gabriella, Anumarlapudi, Akash, Archibald, Anne M., Arzoumanian, Zaven, Blecha, Laura, Brazier, Adam, Brook, Paul R., Burke-Spolaor, Sarah, Bécsy, Bence, Casey-Clyde, J. Andrew, Charisi, Maria, Chatterjee, Shami, Chatziioannou, Katerina, Cohen, Tyler, Cordes, James M., Crawford, Fronefield, Cromartie, H. Thankful, Crowter, Kathryn, DeCesar, Megan E., Demorest, Paul B., Dolch, Timothy, Drachler, Brendan, Ferrara, Elizabeth C., Fiore, William, Fonseca, Emmanuel, Freedman, Gabriel E., Garver-Daniels, Nate, Gentile, Peter A., Glaser, Joseph, Good, Deborah C., Gültekin, Kayhan, Jennings, Ross J., Jones, Megan L., Kaiser, Andrew R., Kaplan, David L., Kelley, Luke Zoltan, Kerr, Matthew, Key, Joey S., Laal, Nima, Lam, Michael T., Lamb, William G., Lazio, T. Joseph W., Lewandowska, Natalia, Liu, Tingting, Lorimer, Duncan R., Lynch, Ryan S., Ma, Chung-Pei, Madison, Dustin R., McEwen, Alexander, McKee, James W., McLaughlin, Maura A., McMann, Natasha, Meyers, Bradley W., Mingarelli, Chiara M. F., Mitridate, Andrea, Ng, Cherry, Nice, David J., Ocker, Stella Koch, Pennucci, Timothy T., Perera, Benetge B. P., Pol, Nihan S., Radovan, Henri A., Ransom, Scott M., Ray, Paul S., Sardesai, Shashwat C., Schmiedekamp, Carl, Schmiedekamp, Ann, Schmitz, Kai, Shapiro-Albert, Brent J., Simon, Joseph, Siwek, Magdalena S., Stairs, Ingrid H., Stinebring, Daniel R., Stovall, Kevin, Susobhanan, Abhimanyu, Swiggum, Joseph K., Turner, Jacob E., Unal, Caner, Wahl, Haley M., Witt, Caitlin A., Young, Olivia

Tabla de Contenidos: “…-wave background analyses and their corresponding code representations. Descriptions of the internal…”
Enlace del recurso

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction por Luo, Xunlian, Zhu, Chunjiang, Zhang, Detian, Li, Qing

Tabla de Contenidos: “… provide a systematic review of graph learning strategies and commonly used graph convolution algorithms…”
Enlace del recurso

A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching por Gupta, Aniket, Xie, Yiming, Singh, Hanumant, Jiang, Huaizu

Tabla de Contenidos: “… as the first step, e.g., using the Sinkhorn algorithm. A RANSAC-like method is then usually adopted as a post…”
Enlace del recurso

MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets por Du, Siyi, Bayasi, Nourhan, Hamarneh, Ghassan, Garbi, Rafeef

Tabla de Contenidos: “… outperforms state-of-the-art algorithms, with superior segmentation performance and a fixed model size…”
Enlace del recurso

Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception por Liu, Yuntao, Huang, Qian, Li, Rongpeng, Chen, Xianfu, Zhao, Zhifeng, Zhao, Shuyuan, Zhu, Yongdong, Zhang, Honggang

Tabla de Contenidos: “… algorithm called HPHA (historical prior hybrid attention), which integrates multi-scale attention and short…”
Enlace del recurso

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks por Ding, Xin, Wang, Yongwei, Xu, Zuheng

Tabla de Contenidos: “… objective alongside a modified CcGAN training algorithm. Empirical analysis on UTKFace and Steering Angle…”
Enlace del recurso

Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition por Liu, Hongda, Wang, Yunlong, Ren, Min, Hu, Junxing, Luo, Zhengquan, Hou, Guangqi, Sun, Zhenan

Tabla de Contenidos: “… algorithms declines sharply when training data suffers from heavy class imbalance. The imbalanced data…”
Enlace del recurso

Augmenting Chest X-ray Datasets with Non-Expert Annotations por Cheplygina, Veronika, Damgaard, Cathrine, Eriksen, Trine Naja, Juodelyte, Dovile, Jiménez-Sánchez, Amelia

Tabla de Contenidos: “…The advancement of machine learning algorithms in medical image analysis requires the expansion…”
Enlace del recurso

CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching Process por Kontente, Sapir, Orfaig, Roy, Bobrovsky, Ben-Zion

Tabla de Contenidos: “… navigation. Modern algorithms rely on anchor-based detectors, which are then followed by a label-assignment…”
Enlace del recurso

Multi-Resolution Active Learning of Fourier Neural Operators por Li, Shibo, Yu, Xin, Xing, Wei, Kirby, Mike, Narayan, Akil, Zhe, Shandian

Tabla de Contenidos: “… multi-resolution FNO and use ensemble Monte-Carlo to develop an effective posterior inference algorithm…”
Enlace del recurso

Light Schrödinger Bridge por Korotin, Alexander, Gushchin, Nikita, Burnaev, Evgeny

Tabla de Contenidos: “… algorithm in discrete optimal transport. We address this issue and propose a novel fast and simple SB solver…”
Enlace del recurso