Evolutionary computing and machine learning for the discovering of low-energy defect configurations
专题命中 多模态Agent :multimodal(abstract)
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 多模态Agent :multimodal(abstract)
专题命中 多模态Agent :multi-modal(abstract)
Comments Accepted in NeurIPS2020. First two authors contributed equally, website: https://sites.google.com/view/trajectory-mcl code: https://github.com/younggyoseo/trajectory_mcl
专题命中 多模态Agent :multi-modal(abstract)
Comments The latest version of this paper has been uploaded to arXiv:2006.15482 and already accepted by a workshop
专题命中 多模态Agent :multi-modal(abstract)
Comments 30 pages, 7 figures, 6 tables. arXiv admin note: text overlap with arXiv:1902.07828
专题命中 多模态Agent :multimodal(abstract)
Comments Submitted to NeurIPS 2020, Corrected footnote from: "34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada" to "Preprint. Under review."
专题命中 多模态Agent :multi-modal(abstract)
Comments 12 pages, 6 figures
专题命中 多模态Agent :multimodal(abstract)
Comments 17 pages, 8 figures, 26th International Conference on Automated Planning and Scheduling
专题命中 多模态Agent :multi-modal(abstract)
Comments Electronic Supplementary Information (ESI) available: All analysis/plotting scripts and figure files, allowing for a fully reproducible, and automated, analysis workflow for the work presented is available at \url{https://github.com/arm61/sim_and_scat_paper} (DOI: 10.5281/zenodo.2556826) under a CC BY-SA 4.0 license
Journal ref J. Appl. Crystallogr., 52(3), 665-668, 2019
专题命中 多模态Agent :multimodal(abstract)
专题命中 多模态Agent :multi-modal(abstract)
Comments arXiv admin note: substantial text overlap with arXiv:1806.02609
专题命中 多模态Agent :multi-modal(abstract)
专题命中 多模态Agent :multimodal(abstract)
Comments Updated Figures 5 and 6 and the associated text
专题命中 多模态Agent :multimodal(abstract)
专题命中 多模态Agent :multimodal(abstract)
Comments This paper has been submitted to a journal to be reviewed and considered for publication
专题命中 多模态Agent :multi-modal(abstract)
专题命中 多模态Agent :multi-modal(abstract)
专题命中 多模态Agent :multimodal(abstract)
Comments 17 pages, 8 figures (references added, some material moved to appendix)
Journal ref Comptes Rendus Physique 20, 349 (2019)
专题命中 多模态Agent :multimodal(abstract)
Comments Accepted for EA2019
专题命中 多模态Agent :multi-modal(abstract)
Journal ref In: Rodrigues H. et al. (eds) EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018
专题命中 多模态Agent :multi-modal(abstract)
专题命中 多模态Agent :multimodal(abstract)
专题命中 多模态Agent :multimodal(abstract)
Comments IEEE/CVF International Conference on Computer Vision (ICCV) 2019 -- 10 pages, 10 figures, 2 tables
专题命中 多模态Agent :multi-modal(abstract)
Journal ref Conditioning Medicine, 2018
专题命中 多模态Agent :multi-modal(abstract)
Comments Extended abstract of this paper is presented at Transportation Research Board 98th Annual Meeting (No. 19-03300)
专题命中 多模态Agent :multimodal(abstract)
Comments Paper for the Workshop on Data Preprocessing for Big Biomedical Data 2019, held in conjunction with the IEEE Smart World Congress 2019, Leicester, UK
专题命中 多模态Agent :multi-modal(abstract)
Comments Submitted to IEEE TSC Special Issue on Blockchain Services, May 2019
专题命中 多模态Agent :multi-modal(abstract)
专题命中 多模态Agent :multimodal(abstract)
Comments 11 pages, 11 figures. Accepted for publication in MNRAS
专题命中 多模态Agent :multimodal(abstract)
Comments ACM Student Research Competition (SRC) submission in Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19); 3 pages; Poster: https://docs.google.com/drawings/d/1OrfWGp7-o8sI7KJyx4-leY-A8TioXP1IQFKNBDceht4/edit?usp=sharing
专题命中 多模态Agent :multimodal(abstract)
Comments 14 pages,18 figures. Accepted for publication in ApJ. The code for the time-frequency analysis used in the paper is available here: https://github.com/HajimeKawahara/juwvid