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Publication search results
found 326 matches
- 2024
- Tillmann Dönicke:
All Ravens are Black - Formalisation and Computational Analysis of Generalising Statements in Natural Language. 2024 - Dongbo Xie, Jiaxun He, Tao Liu, Ce Liu, Gang Zhao, Liqing Chen:
Establishment and validation the DEM-MBD coupling model of flexible straw-Shajiang black soil-walking mechanism interactions. Comput. Electron. Agric. 224: 109203 (2024) - Iman Maghami, Mohamed M. Morsy, Jeffrey M. Sadler, Jeffery S. Horsburgh, Pabitra Dash, Youngdon Choi, Kevin Chen, Martin Seul, Scott Black, David G. Tarboton, Jonathan L. Goodall:
An extensible schema for capturing environmental model metadata: Implementation in the HydroShare online data repository. Environ. Model. Softw. 172: 105895 (2024) - Jialu Gao, Jianzhou Wang, Yilin Zhou, Mengzheng Lv, Danxiang Wei:
Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done? Expert Syst. Appl. 244: 122924 (2024) - Fusheng Bai, Dongchi Zou, Yutao Wei:
A surrogate-assisted evolutionary algorithm with clustering-based sampling for high-dimensional expensive blackbox optimization. J. Glob. Optim. 89(1): 93-115 (2024) - Donald R. Jones, Alberto Lovison:
Constrained multiobjective optimization of expensive black-box functions using a heuristic branch-and-bound approach. J. Glob. Optim. 88(4): 947-978 (2024) - Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu:
MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors. IEEE Trans. Computers 73(4): 980-993 (2024) - Guodong Cao, Zhibo Wang, Yunhe Feng, Xiaowei Dong, Zhifei Zhang, Zhan Qin, Kui Ren:
Task-Free Fairness-Aware Bias Mitigation for Black-Box Deployed Models. IEEE Trans. Dependable Secur. Comput. 21(4): 3390-3405 (2024) - Simon R. Blackburn, Navid Nasr Esfahani, Donald L. Kreher, Douglas R. Stinson:
Constructions and Bounds for Codes With Restricted Overlaps. IEEE Trans. Inf. Theory 70(4): 2479-2490 (2024) - Isabella Lopez, Sanorita Dey:
"You Don't See Too Many of Me, Too Many of Us, in That Area": Exploring the Challenges and Opportunities of Promoting STEM Education Among Black and Latinx Students. ITiCSE (1) 2024 - Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, Robert West:
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access. CoRR abs/2401.09967 (2024) - Sen Wang, Dong Li, Shaoyu Huang, Xuanliang Deng, Ashrarul H. Sifat, Changhee Jung, Ryan K. Williams, Haibo Zeng:
Real-Time Systems Optimization with Black-box Constraints and Hybrid Variables. CoRR abs/2401.11620 (2024) - Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Knowledge Editing on Black-box Large Language Models. CoRR abs/2402.08631 (2024) - Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu:
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators. CoRR abs/2402.15218 (2024) - Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. CoRR abs/2403.12945 (2024) - Yuren Mao, Xuemei Dong, Wenyi Xu, Yunjun Gao, Bin Wei, Ying Zhang:
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction. CoRR abs/2403.14374 (2024) - Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin:
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection. CoRR abs/2403.15955 (2024) - Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian:
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models. CoRR abs/2403.18365 (2024) - Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong:
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario. CoRR abs/2404.00362 (2024) - Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang:
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks. CoRR abs/2404.00924 (2024) - Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine:
Octo: An Open-Source Generalist Robot Policy. CoRR abs/2405.12213 (2024) - Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. CoRR abs/2405.18186 (2024) - Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu:
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. CoRR abs/2405.19098 (2024) - Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang:
Towards Black-Box Membership Inference Attack for Diffusion Models. CoRR abs/2405.20771 (2024) - Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu:
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR abs/2406.05232 (2024) - Jaehyung Kim, Dongyoung Kim, Yiming Yang:
Learning to Correct for QA Reasoning with Black-box LLMs. CoRR abs/2406.18695 (2024) - 2023
- Yun Dong:
Physics Guided Machine Learning algorithm for MAX-DOAS retrieval. Virginia Tech, Blacksburg, VA, USA, 2023 - Nedeljko Radulovic:
Post-hoc Explainable AI for Black Box Models on Tabular Data. (L'IA Explicable a posteriori pour les modèles de boîte noire sur les données tabulaires). Polytechnic Institute of Paris, Palaiseau, France, 2023 - Dongxing Xu, Jianchuan Yin:
An Improved Black Widow Optimization Algorithm for Engineering Constrained Optimization Problems. IEEE Access 11: 32476-32495 (2023)
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