Suchergebnisse - (coding OR decoding) (algorithm OR (algorithmics OR Algorithmsssics))

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning von Zhang, Qingquan, Liu, Jialin, Zhang, Zeqi, Wen, Junyi, Mao, Bifei, Yao, Xin

Inhaltsangabe: “… for mitigating unfairness, our proposed algorithm can provide decision-makers with better tradeoffs among …”
Volltext

Evaluating Search-Based Software Microbenchmark Prioritization von Laaber, Christoph, Yue, Tao, Ali, Shaukat

Inhaltsangabe: “… Ensuring that software performance does not degrade after a code change is paramount. A solution …”
Volltext

FedCC: Robust Federated Learning against Model Poisoning Attacks von Jeong, Hyejun, Son, Hamin, Lee, Seohu, Hyun, Jayun, Chung, Tai-Myoung

Inhaltsangabe: “… simultaneously, we present FedCC, a simple yet effective novel defense algorithm against model poisoning attacks …”
Volltext

Coalgebraic Satisfiability Checking for Arithmetic $μ$-Calculi von Hausmann, Daniel, Schröder, Lutz

Inhaltsangabe: “… by polynomial-sized codes, and the sequent duals of the rules need to absorb cut. While such rule sets have been …”
Volltext

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning von Sikchi, Harshit, Zheng, Qinqing, Zhang, Amy, Niekum, Scott

Inhaltsangabe: “… -of-the-art offline RL and offline imitation learning (IL) algorithms as instances of dual RL approaches …”
Volltext

ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment von Jahani-Nezhad, Tayyebeh, Maddah-Ali, Mohammad Ali, Caire, Giuseppe

Inhaltsangabe: “… -based outlier-detection algorithms, and effective methods for mitigating Byzantine attacks. To overcome …”
Volltext

Floquet Analysis of Frequency Collisions von Heya, Kentaro, Malekakhlagh, Moein, Merkel, Seth, Kanazawa, Naoki, Pritchett, Emily

Inhaltsangabe: “… the Floquet state is defined in an infinite-dimensional Hilbert space, we develop algorithms, based …”
Volltext

Learning correlated noise in a 39-qubit quantum processor von Harper, Robin, Flammia, Steven T.

Inhaltsangabe: “… the information required to optimize the algorithms used for error correction. Here we propose a method …”
Volltext

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

Inhaltsangabe: “… simply be the behavior policy. We show that offline RL algorithms that learn such calibrated value …”
Volltext

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

Inhaltsangabe: “… (FTQC) based on the quantum error correction (QEC) code remains far beyond realization due to its …”
Volltext

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

Inhaltsangabe: “… collaborative object detectors and baseline MOT algorithms. We evaluate MOT-CUP on V2X-Sim, a comprehensive …”
Volltext

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

Inhaltsangabe: “… model, iii) a scheduling algorithm for executing 3D models on the generated hardware, iv) a resource …”
Volltext

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

Inhaltsangabe: “… algorithms. These advancements hold the potential to significantly enhance anomaly detection in real-time …”
Volltext

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

Inhaltsangabe: “… skill priors and imitation learning under unstructured data to enhance the algorithm's generalization …”
Volltext

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

Inhaltsangabe: “… algorithms across a variety of tasks within MiniGrid, DeepMind Control Suite, and Meta-World benchmarks …”
Volltext

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

Inhaltsangabe: “… series representation of this prior is then used to develop a Markov chain Monte Carlo algorithm …”
Volltext

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods von 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

Inhaltsangabe: “… in the form of dataset, code, and meta-data submissions. We cover the following materials design categories …”
Volltext

The NANOGrav 15-year Gravitational-Wave Background Methods von 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

Inhaltsangabe: “… -wave background analyses and their corresponding code representations. Descriptions of the internal …”
Volltext

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

Inhaltsangabe: “… provide a systematic review of graph learning strategies and commonly used graph convolution algorithms …”
Volltext

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

Inhaltsangabe: “… as the first step, e.g., using the Sinkhorn algorithm. A RANSAC-like method is then usually adopted as a post …”
Volltext