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Wenyi Wang
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Year
Mindstorms in natural language-based societies of mind
M Zhuge, H Liu, F Faccio, DR Ashley, R Csordás, A Gopalakrishnan, ...
arXiv preprint arXiv:2305.17066, 2023
612023
Language agents as optimizable graphs
M Zhuge, W Wang, L Kirsch, F Faccio, D Khizbullin, J Schmidhuber
arXiv preprint arXiv:2402.16823, 2024
142024
Bayesian computational sensor networks: small-scale structural health monitoring
W Wang, A Joshi, N Tirpankar, P Erickson, M Cline, P Thangaraj, ...
Procedia Computer Science 51, 2603-2612, 2015
102015
Robot Cognition using Bayesian Symmetry Networks.
A Joshi, TC Henderson, W Wang
ICAART (1), 696-702, 2014
102014
GPTSwarm: Language Agents as Optimizable Graphs
M Zhuge, W Wang, L Kirsch, F Faccio, D Khizbullin, J Schmidhuber
Forty-first International Conference on Machine Learning, 0
10
The cognitive symmetry engine
TC Henderson, A Joshi, W Wang
School Comput., Univ. Utah, Salt Lake City, UT, USA, Rep. UUCS-13-004, 2013
92013
Bayesian optimization using monotonicity information and its application in machine learning hyperparameter
W Wang, WJ Welch
arXiv preprint arXiv:1802.03532, 2018
82018
Agent-as-a-Judge: Evaluate Agents with Agents
M Zhuge, C Zhao, D Ashley, W Wang, D Khizbullin, Y Xiong, Z Liu, ...
arXiv preprint arXiv:2410.10934, 2024
42024
A Formulation of Recursive Self-Improvement and Its Possible Efficiency
W Wang
arXiv preprint arXiv:1805.06610, 2018
22018
Imaging in a Homogeneous Aluminum Plate using Ultrasonic Waves
W Wang
University of Utah, 2014
22014
SLAMBOT: Structural health monitoring robot using lamb waves
W Wang, TC Henderson, A Joshi, E Grant
2014 International Conference on Multisensor Fusion and Information …, 2014
22014
How to Correctly do Semantic Backpropagation on Language-based Agentic Systems
W Wang, HA Alyahya, DR Ashley, O Serikov, D Khizbullin, F Faccio, ...
arXiv preprint arXiv:2412.03624, 2024
2024
FACTS: A Factored State-Space Framework For World Modelling
L Nanbo, F Laakom, Y Xu, W Wang, J Schmidhuber
arXiv preprint arXiv:2410.20922, 2024
2024
Machine learning hyperparameter tuning via Bayesian optimization exploiting monotonicity
W Wang
University of British Columbia, 2019
2019
A Distribution Similarity Based Regularizer for Learning Bayesian Networks
W Kong, W Wang
arXiv preprint arXiv:1808.06347, 2018
2018
Bayesian Optimization Exploiting Monotonicity and Its Application in Machine Learning Hyperparameter Tuning
W Wang, WJ Welch
ICML 2018 AutoML Workshop, 2018
2018
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Articles 1–16